For full submission instructions, visit https://www.bhi-bsn-2021.org/

Program for 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)

Athens time Wednesday, July 28 Thursday, July 29 Friday, July 30
12:30 ‑ 13:00 Poster Session # 1 Poster Session # 3 Poster Session # 5
13:00 ‑ 14:00 BHI Special Session: Leveraging big data, machine learning and computable knowledge technologies to build learning health systems
BHI Special Session: Contactless Vital Signs Monitoring for AI Healthcare
BHI Special Session: In silico clinical trials: AI and biomechanical modeling of heart disease
BHI Session: Biomedical Signal Processing and Disease Oriented Informatics
BHI Special Session: Real World Data analytics supporting High Value Care
BHI Session: Sensor Informatics and Machine Learning
14:00 ‑ 14:30 BHI Special Session: Advanced Sensing and Computing Techniques for Sleep Monitoring
BHI Session: AI and Big Data Analytics (I)
Keynote Session 3 Keynote Session 5
14:30 ‑ 15:00 Keynote Session 4 Keynote Session 6
15:00 ‑ 15:05 Opening Welcome Break Break
15:05 ‑ 15:35 Keynote Session 1 Regulatory panel Industry Panel
15:35 ‑ 15:55 BHI-BSN Roadmap: The Celebration
15:55 ‑ 16:05 Keynote Session 2
16:05 ‑ 16:10 Break Break
16:10 ‑ 16:25 BHI Special Session: Sensor-based behavioral informatics in support of Health Management and Care
BHI Special Session: Personalized Dietary Informatics for Precision Nutrition
BHI Session: Imaging Informatics
BHI Special Session: Mobile Digital Solutions in Patient Care
16:25 ‑ 16:30 Break
16:30 ‑ 17:10 Clinical/Translational panel
17:10 ‑ 17:30 BHI Session: Bioinformatics
BHI Special Session: AI-driven Informatics and Technologies for Cardiovascular Care using multi-modal data from EMRs and/or Wearables
BHI Special Session: Healthcare Analytics. Improving Healthcare outcomes using Multimedia Big Data Analytics
BHI Special Session: Computational Approaches in Neural Engineering
BHI Special Session: Challenges and opportunities in assessing biomarkers of mental states during cognitive demanding tasks
17:30 ‑ 18:00 Featured Session
18:00 ‑ 18:05 Break
18:05 ‑ 18:10 BHI Special Session: Opportunities for Machine Learning and Noninvasive Sensing to Impact Emergency Cardiovascular Care
BHI Session: AI and Big Data Analytics (II)
18:10 ‑ 18:40 Poster Session # 4 Keynote 7
Poster Session # 4
18:40 ‑ 19:00   Closing Ceremony, Best Paper, Best Poster Awards
19:00 ‑ 19:05    
19:05 ‑ 19:35 Poster Session # 2    

Wednesday, July 28

Wednesday, July 28 12:30 - 13:00

Poster Session # 1

12:30 DeepEpil: Towards an Epileptologist-Friendly AI Enabled Seizure Classification Cloud System based on Deep Learning Analysis of 3D videos
Tamás Karácsony (INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Portugal); Anna Mira Loesch-Biffar, Christian Vollmar and Soheyl Noachtar (University of Munich, Germany); João Paulo S. Cunha (INESC TEC and FEUP, Portugal)
12:31 On the Statistical Differences in the Pharmacological Treatment of COVID-19 Patients
Weam Moumouh-Ait Layachi and María Sevilla-García (Universidad Rey Juan Carlos, Spain); Adrián García Romero (Hospital Universitario del Sureste, Spain); Cristina Soguero-Ruiz and Inmaculada Mora-Jiménez (Universidad Rey Juan Carlos, Spain)
12:32 Towards the development of a unified virtual population model in hypertrophic cardiomyopathy
Grigoris Grigoriadis, Vasileios C. Pezoulas, Maria Roumpi and George Gkois (University of Ioannina, Greece); Nikolaos Tachos (Unit of Medical Technology and Intelligent Information Systems, Greece); Momcilo Prodanovic (University of Kragujevac, Faculty of Engineering & Bioengineering Research and Development Center (BioIRC), Serbia); Danica Prodanović (University of Kragujevac, Faculty of Science & Bioengineering Research and Development Center (BioIRC), Serbia); Boban Stojanovic (University of Kragujevac, Faculty of Science, Serbia); Srboljub M. Mijailovich (Illinois Institute of Technology, USA); Nenad Filipovic (University of Kragujevac, Serbia); Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece & University of Ioannina, Greece)
12:33 Designing a conversational agent for patients with hematologic malignancies: Usability and Usefulness Study
Maria E Chatzimina (Foundation for Research and Technology - Hellas (FORTH), Greece); Helen Papadaki (University of Crete & University Hospital of Heraklion, Greece); Charalampos Pontikoglou (School of Medicine University of Crete, Greece); Lefteris Koumakis (Computational Biomedicine Laboratory, FORTH-ICS, Greece); Kostas Marias (FORTH, Greece); Manolis Tsiknakis (Hellenic Mediterranean University, Greece & FORTH -ICS, Greece)
12:34 An improved automatic system for aiding the detection of colon polyps using deep learning
Lishan Cai (The Netherland Cancer Institute, The Netherlands); Regina G.H. Beets-Tan (the Netherlands Cancer Institute, The Netherlands); Sean Benson (The Netherlands Cancer Institute, The Netherlands)
12:35 Digital Tools for Handwriting Proficiency Evaluation in Children
Linda G. Dui, Enrica Calogero and Milad Malavolti (Politecnico di Milano, Italy); Cristiano Termine (University of Insubria, Italy); Matteo Matteucci and Simona Ferrante (Politecnico di Milano, Italy)
12:36 A hybrid data harmonization workflow using word embeddings for the interlinking of heterogeneous cross-domain clinical data structures
Vasileios C. Pezoulas (University of Ioannina, Greece); Antonis Sakellarios (Institute of Molecular Biology and Biotechnology, FORTH, Greece); Marcus Kleber (Mannheim Medical Faculty, University of Heidelberg, Germany); Jos Bosch (Faculty of Social and Behavioural Sciences, University of Amsterdam, The Netherlands); Sander van der Laan (Experimental Cardiology and Laboratory of Clinical Chemistry, The Netherlands); Femke Lamers (Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, The Netherlands); Terho Lehtimäki (Faculty of Medicine and Health Technology, Tampere University, Finland); Winfried März (Mannheim Medical Faculty, University of Heidelberg, Germany); Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece & University of Ioannina, Greece)
12:37 Heart Disease Classification using Novel Heterogeneous Ensemble
Khang Nguyen (Vietnam Academy of Science and Technology, Vietnam); Jerome Wei Yang Lim, Kuo Ping Lee, Terry Lin and Jing Tian (National University of Singapore, Singapore); Trang Do (Wellington Institute of Technology, New Zealand); Matthew Chin Heng Chua (National University of Singapore, Singapore); Binh P. Nguyen (Victoria University of Wellington, New Zealand)
12:38 An architecture for decentralized storage in medical imaging repositories
Rui Lebre (University of A Coruña & University of Aveiro, Portugal); Luís Bastião Silva (BMD Software, Portugal); Carlos Costa (University of Aveiro, Portugal)
12:39 ProstateAnnotation: Web-Based Application for Medical Imaging
Júlia Romagosa (Universitat Politècnica de Catalunya, Spain); Raul Benitez (Univertistat Politècnica de Catalunya, Spain); Christian Mata (Universitat Politècnica de Catalunya, Spain)
12:40 A multivariate imaging study for decrypting the link between polygenic risk scores and microstructure in Mild Cognitive Impairment
Federica Cruciani, Lorenza Brusini, Giorgio Dolci and Ilaria Boscolo Galazzo (University of Verona, Italy); André Altmann (University College London, United Kingdom (Great Britain)); Marco Lorenzi (Inria Sophia Antipolis, France); Gloria Menegaz (University of Verona, Italy)
12:41 About the combination of vesselness filters and 3-D U-Net architectures for liver vessel extraction
Abir Affane (University of Clermont Auvergne - France, France); Jonas Lamy (Universite Lyon 2, LIRIS, Lyon, France); Marie-Ange Lebre (Universite Clermont Auvergne, CNRS, SIGMA Clermont, Institut Pascal, France); Antoine Vacavant (Institut Pascal & Université Clermont Auvergne, France)
12:42 Four dimensional optoacoustic image segmentation for visualizing perfusion within solid tumors
Subhamoy Mandal (German Cancer Research Center, Heidelberg, Germany); Agnieszka Lach (Silesian University of Technology, Poland)
12:43 On the segmentation of ultrasound intravascular images utilizing a generalized deep learning approach
Dimitris Zaridis (University of Ioannina, Greece); Antonis Sakellarios (Institute of Molecular Biology and Biotechnology, FORTH, Greece); Ioanna Karanasiou and Panagiota Tsompou (University of Ioannina, Greece); George Rigas, Georgia Karanasiou and Savvas Kyriakidis (Institute of Molecular Biology and Biotechnology, FORTH, Greece); Michael Papafaklis (University Hospital of Ioannina, Greece); Eugenia Mylona (Unit of Medical Technology and Intelligent Information Systems, University of Ioannina & FORTH-IMBB, Greece); Nikolaos Tachos (Unit of Medical Technology and Intelligent Information Systems, Greece); Lampros Michalis (University of Ioannina, Greece); Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece & University of Ioannina, Greece)
12:44 Modeling of Brain Functional Connectivity: A resting-state fMRI study on de-novo PD patients
Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece & University of Ioannina, Greece); Aggeliki Iosif (University of Ioannina & Unit of Medical Technology and Intelligent Information Systems, Greece); Evanthia E Tripoliti (University of Ioannina & Unit of Medical Technology and Intelligent Information Systems, Greece); Leonidas Gergidis and Spiros Konitsiotis (University of Ioannina, Greece)
12:45 Curvature Maps for Gait Analysis
Khac Chinh Tran (Danang University of Technology and Science, Canada); Marc Daniel (Ecole Polytech Marseille Département Informatique, France); Jean Meunier (University of Montreal, Canada)
12:46 Deep Geometric Distillation Network for Compressive Sensing MRI
Xiaohong Fan, Yin Yang and Jianping Zhang (Xiangtan University, China)
12:47 Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework
Kevin McCay, Edmond S. L. Ho and Dimitrios Sakkos (Northumbria University, United Kingdom (Great Britain)); Wai Lok Woo (Northumbria University & Newcastle University, United Kingdom (Great Britain)); Claire Marcroft, Patricia Dulson and Nicholas Embleton (NUTH NHS Foundation Trust, United Kingdom (Great Britain))
12:48 Segmentation of COVID-19 Lesions in CT Images
Joana Rocha (Faculty of Engineering, University of Porto & INESC-TEC, Portugal); Sofia C Pereira (Faculty of Engineering, University of Porto, Portugal & INESC-TEC, Portugal); Aurélio Campilho (Université of Porto, Portugal); Ana Maria Mendonça (INESC TEC, Portugal & Faculty of Engineering, University of Porto, Portugal)
12:49 A non-relational approach for distributed medical imaging databases
Rui Lebre (University of A Coruña & University of Aveiro, Portugal); Carlos Costa (University of Aveiro, Portugal)
12:50 Whole Slide Pathology Image Patch Based Deep Classification: An Investigation of the Effects of the Latent Autoencoder Representation and the Loss Function Form
Ana Lomacenkova and Ognjen Arandjelovic (University of St Andrews, United Kingdom (Great Britain))
12:51 Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning
Yanan Niu (École Polytechnique Fédérale de Lausanne, Switzerland); Max L Olender and David Marlevi (Massachusetts Institute of Technology, USA); Farhad Nezami (Brigham and Women's Hospital, USA); Elazer Edelman (Massachusetts Institute of Technology, USA)
12:52 Learning a reconnecting regularization term for blood vessel variational segmentation
Sophie Carneiro Esteves (Institut Pascal / Creatis, France); Antoine Vacavant (Institut Pascal & Université Clermont Auvergne, France); Odyssée Merveille (Creatis, France)
12:53 Synplex: a synthetic simulator of highly multiplexed histological images
Daniel Jimenez-Sanchez, Mikel Ariz and Carlos Ortiz-de-Solórzano (University of Navarra, Spain)
12:54 Retinal Nerve Fiber Layer Defect Detection using Machine Learning on Optic Disc Photograph
Anita Manassakorn and Kitiwat Khamwan (Faculty of Medicine, Chulalongkorn University, Thailand); Dhammathat Owasirikul (Faculty of Medical Technology, Mahidol University, Thailand); Rath Itthipanichpong (Faculty of Medicine, Chulalongkorn University, Thailand); Vera Sa-Ing (Faculty of Science, Srinakharinwirot University, Thailand); Supatana Auethavekiat (Chulalongkorn University, Thailand)
12:55 AFA-RN: An Abnormal Feature Attention Relation Network for Multi-class Disease Classification in gastrointestinal endoscopic images
Qian Zhao and Wenming Yang (Tsinghua University, China); Qingmin Liao (Tsinghua, China)
12:56 Identification of demographic, socio-economic and health-related factors influencing wellbeing in the elderly population using regression models
Isotta Trescato, Chiara Roversi, Martina Vettoretti and Barbara Di Camillo (University of Padova, Italy); Andrea Facchinetti (Università degli Studi di Padova, Italy)
12:57 A National eHealth Platform for COVID-19 Inpatient Treatment and Monitoring
Andreas Neocleous and Maria Papaioannou (University of Cyprus, Cyprus); Andreas S. Panayides (University of Cyprus, Cyprus & University of New Mexico, USA); Francisco Garcia Miguel, Panayiotis Savva, Zinonas Antoniou and Marios Neofytou (University of Cyprus, Cyprus); Eirini C. Schiza (CYENS - Centre of Excellence & University of Cyprus, Cyprus); Kleanthis Neokleous and Ioannis P Constantinou (University of Cyprus, Cyprus); George Panos (University of Patras School of Medicine, Greece); Paraskevi Chra (National and Kapodistrian University of Athens Medical School & Evaggelismos Hospital, Greece); Costantinos S. Pattichis (University of Cyprus, Cyprus); Christos Schizas (Universisity of Cyprus, Cyprus)
12:58 Online Nuclear Emergency Response System for Public Health in the Event of Nuclear Accident
Shivaji Krishna Pawar (Atomic Energy Regulatory Board & Sathyabama Institute of Science and Technology, India); Venkata Srinivas Challa (Indira Gandhi Centre for Atomic Research & Homi Bhabha National Institute, Deemed University under DAE, India); B Venkataraman (Indira Gandhi Centre for Atomic Research, India); Javvathu Bhavani (Vellore Institute of Technology, India)
12:59 COVID-19 and lockdown: The highs and lows of general practitioner prescribing
Fred G Booth (Ulster University Jordanstown, United Kingdom (Great Britain)); Maurice David Mulvenna (Ulster University, United Kingdom (Great Britain)); Raymond Bond (Ulster University Jordanstown, United Kingdom (Great Britain)); Kieran McGlade (Dunluce Family Practice, United Kingdom (Great Britain)); Brian Cleland (Ulster University Jordanstown, United Kingdom (Great Britain)); Debbie Rankin (Ulster University Magee Campus, United Kingdom (Great Britain)); Johnny Wallace (University of Ulster, United Kingdom (Great Britain)); Michaela M Black (University of Ulster, Coleraine, United Kingdom (Great Britain))
13:00 Using K-Means Clustering Method with Doc2Vec to Understand the Twitter Users' opinions on COVID-19 Vaccine
Guanjin Wang (Murdoch University, Australia); Wai Hang Kwok (The Hong Kong Polytechnic University, Hong Kong)

Wednesday, July 28 13:00 - 14:00

BHI Special Session: Leveraging big data, machine learning and computable knowledge technologies to build learning health systems

Chairs: Allen Flynn (University of Michigan, USA), Guilan Kong (National Institute of Health Data Science, Peking University, China)
13:00 Building an learning health system in China
Guilan Kong (National Institute of Health Data Science, Peking University, China); Yangfan Chai (National Institute of Health Data Science, Peking Unviersity, China); Hong Chu (Peking University First Hospital, China); Pengfei Li and Qing Li (Advanced Institute of Information Technology, Peking University, China); Luxia Zhang (National Institute of Health Data Science, Peking Unviersity, China)
13:08 Scaling Data and Analytic Infrastructure
John Ainsworth and Philip Couch (The University of Manchester, United Kingdom (Great Britain))
13:16 Towards Scalable Approaches to Computable Knowledge Artifact Management and Deployment
Allen Flynn (University of Michigan, USA)
13:24 Risk Prediction for the Learning Health System
Niels Peek, Matthew Sperrin, Glen Martin, David Jenkins and Rose Sisk (The University of Manchester, United Kingdom (Great Britain))
13:32 Combing domain knowledge and data-driven prediction models for clinical decision support
Guilan Kong (National Institute of Health Data Science, Peking University, China); Yangfan Chai (National Institute of Health Data Science, Peking Unviersity, China); Huaiyu Wang (National Institute of Health Data Science, Peking University, China); Pengfei Li and Qing Li (Advanced Institute of Information Technology, Peking University, China); Luxia Zhang (National Institute of Health Data Science, Peking Unviersity, China)
13:40 Machine-learning Models to Predict Mortality following Acute Myocardial
Julian S Haimovich (Massachusetts General Hospital, USA)

BHI Special Session: Contactless Vital Signs Monitoring for AI Healthcare

Chairs: Wenjin Wang (Philips Co, The Netherlands), Xuyu Wang (California State University, Sacramento, USA)
13:00 Camera-Based Blood Pressure Monitoring
Keerthana Natarajan and Mohammad Yavarimanesh (Michigan State University, USA); Wenjin Wang (Philips Co, The Netherlands); Ramakrishna Mukkamala (University of Pittsburgh, USA)
13:08 RFID-based Vital Sign Monitoring
Chao Yang (Auburn University, USA); Xuyu Wang (California State University, Sacramento, USA); Shiwen Mao (Auburn University, USA)
13:16 Camera-based Cardio-respiratory Monitoring for Contactless Healthcare
Wenjin Wang (Eindhoven University of Technology, The Netherlands); Albertus den Brinker (Philips Research, The Netherlands)
13:24 Acoustic-based Vital Sign Monitoring
Xuyu Wang (California State University, Sacramento, USA); Shiwen Mao (Auburn University, USA)
13:32 Machine Learning Approach to Detection of Atrial Fibrillation Using High Quality Facial Videos
Cigdem Polat Dautov and Ruslan Dautov (Rochester Institute of Technology, USA); Jean Philippe Couderc (University of Rochester Medical Center, USA); Gill R Tsouri (Rochester Institute of Technology, USA)
13:40 Rapid and Scalable COVID-19 Screening using Speech, Breath, and Cough Recordings
Drew E Grant, Ian McLane and James West (Johns Hopkins University, USA)

Wednesday, July 28 14:00 - 15:00

BHI Session: AI and Big Data Analytics (I)

Chairs: Amira Ashour (Taif Uni, India), George Matsopoulos (National Technical University of Athens, Greece)
14:00 Pediatric Bone Age Assessment based on Detection of Ossification Regions
Esteban Vaca (AGFA NV, Germany); Adriyana Danudibroto (AGFA NV, Belgium)
14:10 Cold-start Hospital Length of Stay Prediction using Positive-Unlabeled Learning
Tom Arjannikov and George Tzanetakis (University of Victoria, Canada)
14:20 Machine Learning Prediction of Hospitalization due to COVID-19 based on Self-Reported Symptoms: A Study for Brazil
Igor Miranda (Universidade Federal do Reconcavo da Bahia, Brazil); Gildeberto Cardoso (Universidade Federal do Recôncavo da Bahia, Brazil); Madhurananda Pahar (University of Stellenbosch, South Africa); Gabriel Oliveira (Universidade Federal do Recôncavo da Bahia, Brazil); Thomas Niesler (Stellenbosch University, South Africa)
14:30 Chatsum: An Intelligent Medical Chat Summarization Tool
Hasan Zafari (Queens University, Canada); Farhana H. Zulkernine (Queen's University & CA Canada, Canada)
14:40 Applying Problem Transformation Methods for Predicting 3-Days All-Cause Readmission in the Emergency Department
Jia-Da Li and Yi-Kuan Liu (National Taiwan University, Taiwan); Cheng-Chung Fang (National Taiwan University Hospital, Taiwan); Chen Chu-Song (National Taiwan University, Taiwan)

BHI Special Session: Advanced Sensing and Computing Techniques for Sleep Monitoring

Chairs: Amara Amara (Institut Supérieur d'Electronique de Paris (ISEP), France), Wei Chen (Fudan University, China)
14:00 Feature Matching: A Novel Domain Adaptation Technique for Sleep Staging
Elisabeth Heremans (KU Leuven, Belgium); Huy Phan (Queen Mary University of London, United Kingdom (Great Britain)); Amir Ansari and Maarten De Vos (KU Leuven, Belgium)
14:08 Unobtrusive Miniature Scale and Deep learning-based Smart Mat System for Sleep Posture Recognition
Chen Chen and Haikang Diao (Fudan University, China); Amara Amara (Terre des Hommes Foundation, China); Wei Chen (Fudan University, China)
14:16 A Gearing Toward An Intelligent Ecosystem For Sleep Monitoring
Theerawit Wilaiprasitporn (Vidyasirimedhi Institute of Science and Technology (VISTEC), Thailand)
14:24 Smart Sleep Sensing Technology Based on Noncontact Multi-modal Sensor Fusion
Hong Hong (Nanjing University of Science and Technology, China)
14:32 Feasibility Analysis of Transformer Model for EEG-Based Sleep Scoring
Zheng Chen (Nara Institute of Science and Technology, Japan); Koki Odani (NARA Institute of Science and Technology, Japan); Pei Gao, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya and Ming Huang (Nara Institute of Science and Technology, Japan)
14:40 Sleep Medicine Data Encryption (ASCLEPIOS) for Secure Sleep Study Exchange
Thomas Penzel (Charité - Universitätsmedizin Berlin, Germany)
14:48 Ultra-Wide Band Radar is a Promising Non-Contact Technology for Sleep Stage Classification in Children
Robbin de Goederen (Erasmus MC - Sophia Children's Hospital, Rotterdam, The Netherlands); Shijing Pu (Eindhoven University of Technology, The Netherlands); Maria Silos Viu (Delft University of Technology, The Netherlands); Dan Doan (Wilhelmina Children's Hospital, UMC Utrecht, The Netherlands); Sebastiaan Overeem (Eindhoven University of Technology, The Netherlands); Wouter Serdijn (Delft University of Technology, The Netherlands); Koen Joosten (Erasmus MC, The Netherlands); Xi Long (Eindhoven University of Technology & Philips Research, The Netherlands); Jeroen Dudink (UMC Utrecht, The Netherlands)

Wednesday, July 28 15:00 - 15:05

Opening Welcome

Wednesday, July 28 15:05 - 15:35

Keynote Session 1

Wearable "SUPER-MINDS" for the Precision Control of CVDs and COVIDs
Chair: Carmen Poon (The Chinese University of Hong Kong, Hong Kong)

Prof. Yuan-Ting Zhang, Hong Kong Center for Cerebro-cardiovascular Health Engineering (COCHE) Wearable "SUPER-MINDS" for the Precision Control of CVDs and COVIDs

ABSTRACT: The cardiovascular diseases (CVDs) and coronavirus diseases (COVIDs) are the most current pressing health challenges globally today. This talk will attempt to address the grand challenges through the paradigm shift to Health Informatics and discuss the convergence approach to integrate technologies across multiple scales in the biological hierarchy from molecular, cell, organ to system for diseases prevention. The presentation will focus on the development of wearable ‘SUPER-MINDS' technologies and their integrations with unobtrusive sensing, biomarker detection, biomedical imaging and machine learning for the early prediction of acute CVDs. Potential applications in the fast response and precise control of COVID-19 will also be discussed. Using the atherosclerotic plaque assessment as an example, this talk will illustrate that the health convergence approach should allow the practice of 8- P's proactive medicine that is predictive, preventive, precise, pervasive, personalized, participatory, preemptive, and patient-centralized.

Wednesday, July 28 15:35 - 15:55

BHI-BSN Roadmap: The Celebration

Chair: May Dongmei Wang (Georgia Institute of Technology and Emory University, USA)

Andrew Laine, EMBS Past President and BHI-TC Past Chair Dimitris Fotiadis, JBHI EiC and BHI Conf. Chair Metin Akay, EMBS President, University of Houston Stephen Wong, BHI-TC Past Chair Yuan-Ting Zhang, JBHI Past EiC, BHI Conf. Past Chair

Wednesday, July 28 15:55 - 16:25

Keynote Session 2

Simplifying interpretation and acquisition of ultrasound scans
Chair: Georgia Tourassi (Oak Ridge National Laboratory, USA)

Prof. Alison Noble, Professor in Biomedical Engineering, University of Oxford, UK Simplifying interpretation and acquisition of ultrasound scans

ABSTRACT: With the increased availability of low-cost and handheld ultrasound probes, there is interest in simplifying interpretation and acquisition of ultrasound scans through deep-learning based analysis so that ultrasound can be used more widely in healthcare. However, this is not just "all about the algorithm", and successful innovation requires inter-disciplinary thinking and collaborations.

In this talk I will overview progress in this area drawing on examples of my laboratory's experiences of working with partners on multi-modal ultrasound imaging, and building assistive algorithms and devices for pregnancy health assessment in high-income and low-and-middle-income country settings. Emerging topics in this area will also be discussed.

Wednesday, July 28 16:25 - 16:30

Break

Wednesday, July 28 16:30 - 17:30

Clinical/Translational panel

Advances and Trends in use of Informatics in Clinical Practice
Chair: Athanasios Tzioufas (National and Kapodistrian University of Athens, Greece)

Guests: Maria Teresa Arredondo, Universidad Politécnica de Madrid, Spain; Doris Bamiou, University College of London, UK; Elazer R. Edelman, ΜΙΤ, US; Norbert Graf, University of the Saarland, Germany; Peter Stone, Harvard Medical School, US

Wednesday, July 28 17:30 - 18:00

Featured Session

Pandemic Mitigation by Modeling and Informatics: Lesson Learned from COVID-19
Chair: Constantinos Pattichis (University of Cyprus, Cyprus)

Prof George Panos, BSc(Biomed. Eng.), CEng, MIET, MD, PhD, DTM&H(Lon), FRCP. Former Professor, Internal Medicine, School of Medicine of the University of Cyprus and at the Nicosia General Hospital Internal Medicine Clinic TITLE: Technological Challenges to assist in the clinical management towards the Pandemic Response

ABSTRACT:

COVID-19 pandemic created tremendous pressure of patient load on the health systems and especially in hospitals challenging their ability to effectively monitor COVID-19 inpatients disease progression and provide the appropriate treatment in a timely manner. Approximately 4% of COVID 19 positive patients need hospitalization and of these an estimated 2.5% end up in ICUs and Units for Special Care. Technological challenges to record and manage the mounting epidemiological and clinical data which ultimately translated to patients' health, inevitably led to the design and implementation of a unified electronic surveillance and management platform almost immediately by the medical and engineering community that ingeniously utilized technological devices and IT solutions to deliver a real time web based covid-19 electronic health record. This covid-19 eHealth platform is categorized in three main sections a) Demographics, allergies, comorbidities, symptoms and date of symptoms onset including a self-assessment of symptom severity development by time and date, vital signs, oxymetry, current medication b) Hospital admission details (bed/ward/department), patient summary and continuous cumulative graph depictions of vital signs, oxygen status (oximetry SpO2/FiO2 and/or blood gases pO2/FiO2) and scoring systems (e.g. Acute Respiratory Distress Syndrome, Modified Early Warning System and Glasgow Coma Scale), ECG-QTc estimation c) Daily comprehensive real-time web based COVID-19 electronic health record (patient history, clinical examination, lab exams, treatment regimens) with simple timeline statistical permutation depictions.

Professor Joshua S Weitz, Tom and Marie Patton Professor of Biological Sciences, Georgia Institute of Technology, US TITLE: Modeling, Interventions, and the Ongoing Need for Pandemic Response and Mitigation Instruments

ABSTRACT: The Covid-19 pandemic continues to impact the health and well-being of communities all across the globe. From the outset, epidemic theory and models have played a key role in advancing understanding of the potential threat and in shaping public health responses. In this talk, I will highlight both near- and long-term challenges in controlling Covid-19. In doing so, I will focus on efforts to characterize non-canonical features of spread (including gathering-associated risk, behavioral feedback, and the impacts of heterogeneity) as well as efforts to use testing (including PCR and serological tests) as a means to mitigate and control spread. In closing, I will also highlight lessons learned and ongoing opportunities for use-inspired theory and modeling initiatives to enhance response, decision-making, and mitigation instruments.

Wednesday, July 28 18:00 - 18:05

Break

Wednesday, July 28 18:05 - 19:05

BHI Special Session: Opportunities for Machine Learning and Noninvasive Sensing to Impact Emergency Cardiovascular Care

Chairs: Jin-Oh Hahn (University of Maryland, USA), Omer T Inan (Georgia Institute of Technology, USA)
18:05 Preclinical Evaluation of Wearable Sensors and Machine Learning for Continuous Estimation of Hypovolemic Status
Jacob Kimball, Jonathan Zia and Sungtae An (Georgia Institute of Technology, USA); Christopher Rolfes (Translational Training and Testing Laboratories Inc. (T3 Labs), USA); Jin-Oh Hahn (University of Maryland, USA); Michael Sawka and Omer T Inan (Georgia Institute of Technology, USA)
18:13 Challenges of Atrial Fibrillation Detection Using Smartwatches
Ki Chon (University of Connecticut, USA)
18:21 Smarter, safer, faster: Emergency resuscitation through machine learning
Michael R Pinsky (University of Pittsburgh, USA)
18:29 Obtaining Robust Personalized and Generative Physiological Models through Collective Inference
Ali Tivay (University of Maryland, USA); George Kramer (University of Texas Medical Branch, USA); Jin-Oh Hahn (University of Maryland, USA)
18:37 Detection of Impending Hospitalizations via Non-contact Adherence-independent Sensing in the Home Bed
Kevin R King (UC San Diego & UCSD, USA)
18:45 Spatiotemporal regularization in effective reconstruction of epicardial potential
Yu Shu (Binghamton University, USA); Wei Dan (Shenzhen Technology University, China); Changqing Cheng (Binghamton University, USA)
18:53 Noninvasive Electrocardiographic Imaging (ECGI) of Cardiac Arrhythmias
Rudy Yoram (USA)

BHI Session: AI and Big Data Analytics (II)

Chairs: Amira Ashour (Taif Uni, India), George Matsopoulos (National Technical University of Athens, Greece)
18:05 High-Resolution MRI Brain Inpainting
Mohamed Almansour, Nagia M Ghanem and Soheir Ahmed Fouad Bassiouny (Faculty of Engineering, Alexandria University, Egypt)
18:15 HistoTransfer: Understanding Transfer Learning for Histopathology
Yash Sharma (University of Virginia & Gastroenterology Data Science Lab, USA); Lubaina Ehsan, Sana Syed and Donald Brown (University of Virginia, USA)
18:25 Automated Risk Assessment of COVID-19 Patients at Diagnosis Using Electronic Healthcare Records
Felipe O Giuste (Georgia Institute of Technology & Emory University School of Medicine, USA); Lawrence He, Monica Isgut and Wenqi Shi (Georgia Institute of Technology, USA); Blake Anderson (Emory University School of Medicine, USA); May Dongmei Wang (Georgia Institute of Technology and Emory University, USA)
18:35 Decentralized Knowledge Transfer on Edge Networks for Detecting Cancer in Images
Orpaz Goldstein (UCLA, USA); Mohammad Kachuee (University of California, Los Angeles, USA); Majid Sarrafzadeh (UCLA, USA)
18:45 Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers
Moi Hoon Yap and Bill Cassidy (Manchester Metropolitan University, United Kingdom (Great Britain)); Joseph Pappachan (Lancashire Teaching Hospitals, United Kingdom (Great Britain)); Claire O'Shea (Waikato District Health Board, New Zealand); David Gillespie and Neil D. Reeves (Manchester Metropolitan University, United Kingdom (Great Britain))

Wednesday, July 28 19:05 - 19:35

Poster Session # 2

19:05 Body Pose Analysis using CNN and Pressure Sensor Array Data
Aakash Bhatt, Svetlana N. Yanushkevich, Thomas Truong and Mohammed Almekhlafi (University of Calgary, Canada)
19:06 Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data
Zepeng Huo and Lida Zhang (Texas A&M University, USA); Rohan Khera (Yale University, USA); Shuai Huang (University of Washington, USA); Xiaoning Qian (Texas A&M University, USA); Zhangyang Wang (University of Texas at Austin, USA); Bobak Jack Mortazavi (Texas A&M University & Center for Outcomes Research and Evaluation - Yale University, USA)
19:07 DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records
Lida Zhang (Texas A&M University, USA); Xiaohan Chen and Tianlong Chen (The University of Texas at Austin, USA); Zhangyang Wang (University of Texas at Austin, USA); Bobak Jack Mortazavi (Texas A&M University & Center for Outcomes Research and Evaluation - Yale University, USA)
19:08 Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards
Zhale Nowroozilarki, Arash Pakbin and James Royalty (Texas A&M University, USA); Donald Lee (Emory University, USA); Bobak Jack Mortazavi (Texas A&M University & Center for Outcomes Research and Evaluation - Yale University, USA)
19:09 Integrating microbiome and metabolome data for host disease prediction via deep learning neural networks
Tina Khajeh (University of Illinois At Chicago, USA); Derek Reiman (University of Illinois at Chicago, USA); Ryan Morley (University of Illinois At Chicago, USA); Yang Dai (University of Illinois at Chicago, USA)
19:10 Mask-Grasp R-CNN: Simultaneous Instance Segmentation and Robotic Grasp Detection
Mena S.A. Kamel and Michael D Naish (Western University, Canada)
19:11 Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions
Anish Karpurapu, Adam Krekorian, Ye Tian and Leslie Collins (Duke University, USA); Ravi Karra (Duke University Medical Center, USA); Aaron D Franklin and Boyla Mainsah (Duke University, USA)
19:12 Neural Topic Modeling to Understand Breast Cancer Peer-to-peer Online Information Seeking at Diagnosis
Xiao Luo and Sahil Kumar (IUPUI, USA); Natalie Lambert (Indiana University, USA)
19:13 Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification
Minh Duc Le, Vidhiwar Rathour, Sang Q Truong and Quan Mai (University of Arkansas, USA); Patel Brijesh (West Virginia University, USA); Ngan Le (University of Arkansas, USA)
19:14 Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks
Hung Vo and Pengyu Yuan (University of Houston, USA); Tiancheng He (Houston Methodist Hospital, USA); Stephen Wong (Houston Methodist Cancer Center, USA); Hien Nguyen (University of Houston, USA)
19:15 Accurate Predictive Modeling and Risk Factor Identification for COVID-19 through Machine Learning
Alice Feng (Harker School, USA)
19:16 Machine Learning Models for Seizure Detection Deployment Insight for e-health IoT platform
Gabriel Puerta (Univ Lyon, INSA Lyon, Inria, CITI,); Frederic Le Mouel and Oscar Carrillo (INRIA / INSA Lyon, France)
19:17 Identifying Features for COVID-19 Hospitalization Risk Prediction
José Joaquín Casado Garrido, Gabriel A Cruz and Zhiyi Dong (Georgia Institute of Technology, USA); Blake Anderson (Emory University School of Medicine, USA); May Dongmei Wang (Georgia Institute of Technology and Emory University, USA)
19:18 Replacing Histological Grade with Gene Expression Grade Index to Predict Breast Cancer Survival
John Anderson, Brady Bove Muñoz, Janani Guru and Nadia Hepburn (Georgia Institute of Technology, USA); May Dongmei Wang (Georgia Institute of Technology and Emory University, USA)
19:19 Cancer Clinical Decision Support Enabled by Processing of Histopathological Images
Peter F Lais, Carlos Sabater, Christine Saw and Ila Vienneau (Georgia Institute of Technology, USA); May Dongmei Wang (Georgia Institute of Technology and Emory University, USA)
19:20 Attention Based Joint Learning for Automatic Arrhythmia Diagnosis in Electrocardiogram
Yiyu Shi and Xinrong Hu (University of Notre Dame, USA); Long Wen, Jian Zhuang and Xiaowei Xu (Guangdong General Hospital, China)
19:21 A Novel Method of Diagnosing Depression through the Use of the SpaceNet Classifier
Anker Zhao (Shady Side Academy, USA); Kevin Z. Qi (Boston College, USA); Daniel Che (Academy for Advanced Research and Development, USA); Justin Swaney (MIT, USA); Tingying Helen Zeng (Academy for Advanced Research and Development, USA)
19:22 Detecting Adversarial Attacks on Deep Learning Models for Oncological Images
Marina Z Joel (Yale School of Medicine, USA); Sanjay Aneja (Yale University, USA); Enoch Chang, Sachin Umrao and Rachel Choi (Yale School of Medicine, USA)
19:23 What makes a person obese?: An individual-level analysis of obesity
Tahar Touati (San Francisco State University & Computer Science Dept, USA); Kazunori Okada and Hyo Jung Song (San Francisco State University, USA)
19:24 Seizure detection using human intracranial electrophysiology via information theoretic methods
Lisa Yamada, Tomiko Oskotsky and Paul Nuyujukian (Stanford University, USA)
19:25 An Optimal Control Approach for Automated Fluid Resuscitation
Jacob Grant and Hossein Mirinejad (Kent State University, USA)
19:26 Dynamic Networks of Physiologic Interactions of Brain Waves and Rhythms in Muscle Activation
Rossella Rizzo, Sergi Garcia Retortillo and Plamen Ivanov (Boston University, USA)
19:27 Improving Lexical Category Features for Depression Screening with Text Messages
Mahum Shah, Monica L. Tlachac, Benjamin Litterer, Saitheeraj Thatigotla, Nick Jurovich and Elke Rundensteiner (Worcester Polytechnic Institute, USA)
19:28 Outcomes-Driven Clinical Phenotyping in Cardiogenic Shock using a Mixture of Experts
Nathan C Hurley (Texas A&M University, USA); Alyssa Berkowitz (Yale University, USA); Frederick Masoudi (University of Colorado School of Medicine, USA); Joseph Ross and Nihar Desai (Yale University, USA); Nilay Shah (Mayo Clinic, USA); Sanket Dhruva (UCSF School of Medicine, USA); Bobak Jack Mortazavi (Texas A&M University & Center for Outcomes Research and Evaluation - Yale University, USA)
19:29 Simulating Study Design Choice Effects on Observed Performance of Predictive Patient Monitoring Alarm Algorithms
David O Nahmias (The MITRE Corporation, USA); Christopher G Scully (US Food and Drug Administration, USA)
19:30 Multi-Label Classification of ICD-10 Coding & Clinical Notes Using MIMIC & CodiEsp
Ivan Makohon and Yaohang Li (Old Dominion University, USA)
19:31 A Knowledge Network-Based Approach to Facilitate Annotation of Clinical Pathway Component Clusters
Minsu Kim (Oak Ridge National Laboratory, USA); S M Shamimul Hasan (Oak Ridge National Lab, USA); Byung-Hoon Park (Oak Ridge National Laboratory, USA); Makoto Jones, Merry Ward and Jonathan Nebeker (Veterans Administration, USA)
19:32 Personalizing TTS Voices for Progressive Dysarthria
Yunxin Zhao, Minguang Song, Yanghao Yue and Mili Kuruvilla-Dugdale (University of Missouri, USA)
19:33 A Target-Specific Evidence Function for Indication Expansion Queries in the Open Targets Platform
Erin Teeple, Yi-Chien Chang and Deepak Rajpal (Sanofi, USA)
19:34 Discovering the Causal Structure of the Hamilton Rating Scale for Depression Using Causal Discovery
Lu Wang, Mark Chignell and Haoyan Jiang (University of Toronto, Canada); Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos and Martin Katzman (S. T. A. R. T. Clinic, Canada)
19:35 Learning from Heterogeneous Data via Contrastive Learning: An Application in Multi-Source COVID-19 Radiography
Wenqi Shi and Mitali Gupte (Georgia Institute of Technology, USA); May Dongmei Wang (Georgia Institute of Technology and Emory University, USA)

Thursday, July 29

Thursday, July 29 12:30 - 13:00

Poster Session # 3

12:30 Personalised trainer recommendation based on physical activity and genetic profile
Edoardo Occhipinti, Khalid B Mirza and Christofer Toumazou (Imperial College London, United Kingdom (Great Britain))
12:31 Predicting post COVID-19 rehabilitation duration with linear kernel SVR
Elisa Setti (Scuola Superiore Sant'Anna, Istituto di BioRobotica, Italy); Piergiuseppe Liuzzi (Scuola Superiore Sant'Anna, Istituto di BioRobotica & IRCCS Fondazione Don Carlo Gnocchi, Italy); Silvia Campagnini (Scuola Superiore Sant'Anna, Istituto di BioRobotica, Italy); Chiara Fanciullacci, Chiara Arienti and Michele Patrini (IRCCS Fondazione Don Carlo Gnocchi, Italy); Andrea Mannini (Scuola Superiore Sant'Anna, Italy); Maria Chiara Carrozza (Scuola Superiore Sant'Anna, Istituto di BioRobotica & IRCCS Fondazione Don Carlo Gnocchi, Italy)
12:32 2D/3D registration with a statistical deformation model prior using deep learning
Jeroen Van Houtte (Imec-Vision Lab, University of Antwerp, Belgium); Xiaoru Gao (Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, China); Jan Sijbers (Imec-Vision Lab, University of Antwerp, Belgium); Guoyan Zheng (Shanghai Jiao Tong University, China)
12:33 Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements
Chiara Roversi, Martina Vettoretti and Barbara Di Camillo (University of Padova, Italy); Andrea Facchinetti (Università degli Studi di Padova, Italy)
12:34 A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population
Chiara Roversi, Erica Tavazzi, Martina Vettoretti and Barbara Di Camillo (University of Padova, Italy)
12:35 Multimodal Segmentation of Medical Images with Heavily Missing Data
Muhammad Usman Akbar (Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genova & University of Genova, Italy); Vittorio Murino (University of Verona, Italy); Diego Sona (Istituto Italiano Di Tecnologia & Fondazione Bruno Kessler, Italy)
12:36 Retrieving Chest X-rays for Differential Diagnosis: A Deep Metric Learning Approach
Ashery Mbilinyi and Heiko Schuldt (University of Basel, Switzerland)
12:37 Combining loss functions for deep learning bladder segmentation on dynamic MRI
Marc-Adrien Hostin (Aix Marseille Univ, Université de Toulon, CNRS, LIS Marseille, France); Augustin C. Ogier (Aix Marseille Univ, Université de Toulon, CNRS, LIS, France); Nicolas Pirro (AP-HM, France); Marc-Emmanuel Bellemare (Aix-Marseille Univ, Université de Toulon, CNRS, LIS, France)
12:38 DeepASDM: a Deep Learning Framework for Affine and Deformable Image Registration Incorporating a Statistical Deformation Model
Xiaoru Gao (Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, China); Jeroen Van Houtte (Imec-Vision Lab, University of Antwerp, Belgium); Zihao Chen and Guoyan Zheng (Shanghai Jiao Tong University, China)
12:39 Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy
Debesh Jha (SimulaMet & UiT The Arctic University of Norway, Norway); Sharib Ali (University of Oxford, United Kingdom (Great Britain)); Nikhil Tomar (SimulaMet, Norway); Michael Alexander Riegler (Simula Research Laboratory, Norway); Dag Johansen and Håvard Johansen (UiT The Arctic University of Norway, Norway); Pål Halvorsen (Simula Research Laboratory & Department of Informatics, University of Oslo, Norway)
12:41 An Unsupervised Learning Approach for Detecting Relapses from Spontaneous Speech in Patients with Psychosis
Christos Garoufis and Athanasia Zlatintsi (National Technical University of Athens, Greece); Panagiotis Filntisis (NTUA, Greece); Niki Efthymiou (National Technical University of Athens, Greece); Emmanouil Kalisperakis, Vasia Garyfalli, Thomas Karantinos, Leonidas Mantonakis and Nikolaos Smyrnis (Laboratory of Cognitive Neuroscience, UMHR, Greece); Petros Maragos (National Technical University of Athens, Greece)
12:42 A Deep Learning Architecture for Spatio-Temporal Feature Extraction and Alcoholism Detection
Neeraj Neeraj and Vatsal Singhal (Indian Institute of Technology Patna, India); Jimson Mathew (IIT Patna & Computer Science Dept, India)
12:43 Quantitative EEG Feature Selection by Majority Voting for Alcohol Use Disorder Detection
Ruchi Holker (Delhi Technological University, New Delhi India, India); Seba Susan (DTU, India)
12:44 Predicting Drug Review Polarity Using Fuzzy and Latent Dirichlet Allocation (FLDA) Approach
Siyue Song (School of Computing and Engineering & University of Huddersfield, United Kingdom (Great Britain)); Tianhua Chen and Grigoris Antoniou (University of Huddersfield, United Kingdom (Great Britain))
12:45 Activity Tracker Classification of Sleep Apnea
Brendan Lyden and Ruairi O'Reilly (Munster Technological University, Ireland)
12:46 Methods for Creating Reproducible Machine Learning Pipelines for Skin Lesion Classification
David Walshe and Ruairi O'Reilly (Munster Technological University, Ireland)
12:47 Machine Learning Approaches to Predict Parkinson's Disease using Speech Signals
Adedolapo Aishat Toye (Carnegie Mellon University Africa, Rwanda); Suryaprakash Kompalli (Carnegie Mellon University & INSOFE, India)
12:48 Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores Across Different Care Settings
Alessandro Guazzo, Enrico Longato and Gian Paolo Fadini (University of Padova, Italy); Giovanni Sparacino (University of Padua, Italy); Alessandro Battaggia, Bruno Franco-Novelletto and Maurizio Cancian (SIMG-SVEMG, Italy); Massimo Fusello (SVEMG, Italy); Angelo Avogaro (Università degli Studi di Padova, Italy); Barbara Di Camillo (University of Padova, Italy)
12:49 Machine learning-based prediction of upper limb rehabilitation outcomes in multiple sclerosis: a preliminary analysis
Eva Josse (ETH Zurich, Switzerland); Ramona Sylvester and Roman Gonzenbach (Rehabilitation Center Valens, Switzerland); Olivier Lambercy (ETH Zurich, Switzerland); Christoph M. Kanzler (Singapore-ETH Centre & ETH Zurich, Singapore)
12:50 A New Methodology to Perform Variable Ranking in Machine Learning Models with Correlated Features: In Silico Validation
Martina Vettoretti and Barbara Di Camillo (University of Padova, Italy)
12:52 Dynamic patterns of change in mental health following breast cancer diagnosis: A trajectory-based unsupervised clustering approach
Eugenia Mylona (Unit of Medical Technology and Intelligent Information Systems, University of Ioannina & FORTH-IMBB, Greece); Konstadina Kourou (Institute of Molecular Biology and Biotechnology, FORTH-IMBB, Greece); Georgios C. Manikis (Foundation for Research and Technology, Greece); Evangelos Karademas (University of Crete, Greece); Panagiotis Simos (School of Medicine, University of Crete, Greece); Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece & University of Ioannina, Greece)
12:53 Coronary Artery Stenosis Prediction using Machine Learning Algorithms
Angela Koloi (University of Ioannina, Greece); Antonis Sakellarios (Institute of Molecular Biology and Biotechnology, FORTH, Greece); Vasileios C. Pezoulas and Costas Papaloukas (University of Ioannina, Greece); Marcus Kleber and Winfried März (Mannheim Medical Faculty, University of Heidelberg, Germany); Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece & University of Ioannina, Greece)
12:54 Estimating Contact Rates in Public Places and Mass Gatherings in Saudi Arabia using Deep Learning and Image Processing
Asma Mohammed Alghamdi and Suha Rushdi Bako (King Abdulaziz University, Saudi Arabia); Zahrah Ahmad Al Safwan (King Abdulaziz University & Saudi Arabia, Saudi Arabia); Sultanah M Alshammari (King Abdulaziz University, Saudi Arabia)
12:55 DPCOVID: Privacy-Preserving Federated Covid-19 Detection
Trang Thi Ho (Research Center for Information Technology, Taiwan); Yennun Huang (Academia Sinica, Taiwan)
12:56 dx-time: An R package for Time Series Analysis in Healthcare
Yi-An Zhu (Chang Gung University, Taiwan); Yi-Ju Tseng (National Central University, Taiwan)
12:57 Aided Diagnosis Methods for Multi-Pathological Types of Pulmonary Nodules Based on 3D Multi-Resolution Attention CapsNet
Yuqiang Gao and Enqing Dong (Shandong University, China)
12:58 Classifying herbal medicine origins by temporal and spectral data mining with electronic nose
Li Liu (Zhejiang University, China); Xianghao Zhan (Stanford University, China); Ziheng Duan, Rumeng Wu, Yi Wu, Xiaoqing Guan, Zhan Wang, You Wang and Guang Li (Zhejiang University, China)

Thursday, July 29 13:00 - 14:00

BHI Special Session: In silico clinical trials: AI and biomechanical modeling of heart disease

Chairs: Nenad Filipovic (University of Kragujevac, Serbia), Winston Wu (Cognos Therapeutics, USA)
13:00 A machine learning risk stratification and disease progression modeling for hypertrophic cardiomyopathy
Tim Smole (University of Ljubljana, Slovenia); Bojan Žunkovič (University of Ljubljana, Faculty of Computer and Information Science, Slovenia); Matej Pičulin (Universitly of Ljubljana, Slovenia); Enja Kokalj (University of Ljubljana, Faculty of Computer and Information Science, Slovenia); Marko Robnik-Šikonja and Matjaž Kukar (University of Ljubljana, Slovenia); Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece & University of Ioannina, Greece); Vasileios C. Pezoulas (University of Ioannina, Greece); Nikolaos Tachos (Unit of Medical Technology and Intelligent Information Systems, Greece); Fausto Barlocco and Francesco Mazzarotto (University of Florence, Italy); Dejana Popovic (University Clinical Center of Serbia, Serbia); Lars S Maier (University of Regensburg, Germany); Lazar Velicki (Faculty of Medicine, University of Novi Sad, Serbia); Iacopo Olivotto (University of Florence, Italy); Djordje G Jakovljevic (Faculty of Medical Sciences, Newcastle University, United Kingdom (Great Britain)); Nenad Filipovic (University of Kragujevac, Serbia); Zoran Bosnić (University of Ljubljana, Faculty of Computer and Information Science, Slovenia)
13:08 Design of the SILICOFCM Cloud Platform: integrating the effects of pharmacological vs lifestyle interventions on hypertrophic cardiomyopathy
Lazar Velicki (Faculty of Medicine, University of Novi Sad, Serbia); Nduka C Okwose (Newcastle University, United Kingdom (Great Britain)); Dejana Popovic (University Clinical Center of Serbia, Serbia); Andrej Preveden (Institute of Cardiovascular Diseases Vojvodina & University of Novi Sad, Faculty of Medicine, Serbia); Fausto Barlocco (University of Florence, Italy); Maria Tafelmeier (University Hospital Regensburg, United Kingdom (Great Britain)); Lars S Maier (University of Regensburg, Germany); Iacopo Olivotto (University of Florence, Italy); Arsen Ristic (University of Belgrade, United Kingdom (Great Britain)); Guy MacGowan (Newcastle University, United Kingdom (Great Britain)); Nenad Filipovic (University of Kragujevac, Serbia); Djordje G Jakovljevic (Faculty of Medical Sciences, Newcastle University, United Kingdom (Great Britain))
13:16 Huxley Surrogate Model Based on Gated-Recurrent Units and Temporal Convolutional Networks
Bogdan Milicevic (University of Kragujevac & Bioengineering Research and Development Center BioIRC, Serbia); Milos Ivanovic and Boban Stojanovic (University of Kragujevac, Faculty of Science, Serbia); Nenad Filipovic (University of Kragujevac, Serbia)
13:24 Automatic segmentation and 3D reconstruction of plaque components in carotid artery from ultrasound images
Tijana Djukic (Institute for Information Technologies, University of Kragujevac, Serbia); Branko Arsic (Faculty of Science, University of Kragujevac, Serbia); Smiljana Djorovic (Faculty of Engineering, University of Kragujevac, Serbia); Branko Gakovic and Igor Koncar (Clinic for Vascular and Endovascular Surgery, Serbian Clinical Centre, Belgrade, Serbia); Nenad Filipovic (University of Kragujevac, Serbia)
13:32 Biomechanical modeling of the heart left ventricle
Miljan Milosevic (Bioengineering Research and Development Center BioIRC & Metropolitan University Belgrade, Serbia); Bogdan Milicevic (University of Kragujevac & Bioengineering Research and Development Center BioIRC, Serbia); Vladimir Simic and Vladimir Geroski (Bioengineering Research and Development Center BioIRC, Serbia); Nenad Filipovic (University of Kragujevac, Serbia); Milos Kojic (Bioengineering Research and Development Center BioIRC, Serbia)
13:40 Ultrasound image processing and 3D reconstruction of heart in patients with cardiomyopathy
Tijana Sustersic (Faculty of Engineering, University of Kragujevac & Bioengineering Research and Development Center (BioIRC), Serbia); Andjela Blagojevic (Faculty of Engineering, University of Kragujevac & Bioengineering Research and Development Center, Serbia); Bogdan Milicevic (University of Kragujevac & Bioengineering Research and Development Center BioIRC, Serbia); Miljan Milosevic (Bioengineering Research and Development Center BioIRC & Metropolitan University Belgrade, Serbia); Stefan Simovic (Faculty of Medical Sciences, University of Kragujevac & BioIRC, Serbia); Nenad Filipovic (University of Kragujevac, Serbia)

BHI Session: Biomedical Signal Processing and Disease Oriented Informatics

Chair: Zhiqiang Zhang (University of Leeds, United Kingdom (Great Britain))
13:00 Computing Realistic Surrogate EEG for the Study of Functional Connectivity
Christian O'Reilly and Mayada Elsabbagh (McGill University, Canada)
13:10 A Diagnostic System for Intracranial Saccular and Fusiform Brain Aneurysm with Location Detection
Yousra Zafar (University of Engineering and Technology Taxila, Pakistan); Ali Javed (UET TAXILA, Pakistan); Khalid Mahmood Malik and Jeremy Santamaria (Oakland University, USA); Ghous Malik (Henry Ford Hospital, USA)
13:20 Spectral dynamics of muscle fiber activation in response to exercise and acute fatigue
Sergi Garcia Retortillo, Rossella Rizzo and Plamen Ivanov (Boston University, USA)
13:30 Transcutaneous Cervical Vagus Nerve Stimulation Lengthens Exhalation in the Context of Traumatic Stress
Asim H Gazi, Srirakshaa Sundararaj and Anna Harrison (Georgia Institute of Technology, USA); Nil Gurel (University of California, Los Angeles, USA); Matthew Wittbrodt (Northwestern University School of Medicine, USA); Amit J Shah and Viola Vaccarino (Rollins School of Public Health, USA); Douglas Bremner (Emory School of Medicine, USA); Omer T Inan (Georgia Institute of Technology, USA)
13:40 Gaze Behaviour During Reading as a Predictor of Mild Cognitive Impairment
Vida Groznik (University of Ljubljana & NEUS Diagnostics, doo, Slovenia); Martin Možina and Timotej Lazar (University of Ljubljana, Slovenia); Dejan Georgiev (University Medical Centre Ljubljana, Slovenia); Aleksander Sadikov (University of Ljubljana, Slovenia)

Thursday, July 29 14:00 - 14:30

Keynote Session 3

Improving Consideration of Social and Cognitive Behaviors in Advancing Informatics Technologies for Health Care
Chair: Daniela Giordano (University of Catania, Italy)

Prof. Vimla L Patel, Director of the Center for Cognitive Studies in Medicine and Public Health at the New York Academy of Medicine, US Improving Consideration of Social and Cognitive Behaviors in Advancing Informatics Technologies for Health Care

ABSTRACT: The modern landscape is being shaped by complex converging forces that will cause shifts in how we deliver and use health care. As we embrace inevitable technological advances, social and cognitive factors will need to be a major part of the discussion, with a focus on the users of the technical innovations. Current efforts to advance this goal have already started. However, there is still a disparity between the users' knowledge and expectations of the technical systems being introduced and their lay beliefs, limited mental models of the technology, and their cognitive representations of illness and disease. Social cognition is predicated upon the belief that both patients and clinicians are predisposed to see the world in individualized ways that shape their behavior and decision-making. These factors are too often misunderstood or ignored in the design and evaluation of engineering systems. A major challenge for health informatics in the future will be to generate evidence-based information about how people process medical and health-related information, with and without supporting technologies. There will be a much greater need for collaborative efforts among scientists (biomedical, cognitive, and social), practitioners, and engineers, as they design and implement systems, if we are to offer technologies that are embraced and thereby reshape the future of our healthcare for a better quality of life. I will address some of these issues with examples from cognitive informatics studies, which influence users' behavior as they interact with health care technology.

Thursday, July 29 14:30 - 15:00

Keynote Session 4

Soft, Wearable Systems with Integrated Microfluidics and Biosensors for Remote Health Monitoring
Chair: Omer T Inan (Georgia Institute of Technology, USA)

Prof. Roozbeh Ghaffari, Northwestern University, USA Soft, Wearable Systems with Integrated Microfluidics and Biosensors for Remote Health Monitoring

ABSTRACT: Soft bio-electronics and microfluidics, enabled by recent advances in materials science and mechanics, can be designed with physical properties that approach the mechanical properties of human skin. These systems are referred to as epidermal electronics and epifluidics by virtue of their stretchable form factors and soft mechanics compared to conventional packaged electronics and sensors. Here, we present an overview of recent advances in novel materials, mechanics, and designs for emerging classes of fully-integrated epidermal electronics and soft microfluidic systems. These devices incorporate arrays of sensors, microfluidic channels and biochemical assays, configured in ultrathin, stretchable formats for continuous monitoring of electro-chemical signals and biophysical metrics. Quantitative analyses of strain distribution and circuit performances under mechanical stress highlight the utility of these wearable systems in clinical and home environments. We will conclude with representative examples of these wearable systems, which have entered the commercialization phase of deployment.

Thursday, July 29 15:00 - 15:05

Break

Thursday, July 29 15:05 - 16:05

Regulatory panel

Regulatory issues for medical devices
Chair: Nenad Filipovic (University of Kragujevac, Serbia)

Medical devices similar as drug in the pharmaceutical industry play an increasingly important role in healthcare worldwide by contributing substantially to the prevention, diagnosis and treatment of diseases. Regulatory issues impact on the whole cycle of the innovation for medical device. We are in a stage of transition as artificial intelligence (AI) is increasingly being used in healthcare across the world. Regulatory bodies have to understand that software itself could be the software as a medical device (SaMD). Artificial intelligence is already used in the medical sector, although currently sporadically. We are aware that benefits of AI could be delayed if slow, expensive clinical trials are necessary for each application of AI. According to the requirements defined in the Medical Device Regulation, any medical device, including those incorporating AI, must be designed in such a way as to ensure repeatability, reliability and performance according to its intended use. The manufacturer of medical device must implement measures to minimize unacceptable risks and reduction of the performance of the medical device. This requires validation and verification of the AI model. Many of the AI models used are "black-box" models. It can make a problem where interpretability and trustworthiness of the systems are concerned. In order to avoid the current error in the pre-clinical applications of AI explainable and approvable AI decisions are necessary for the safe use of AI in the real patients. Also all producers of AI application in the health care must satisfy high level of protection of personal data according to The General Data Protection Regulation. Regulation of artificial intelligence is still at the beginning of development. All major regulatory bodies around the worlds have defined or just starting to define requirements for AI in medical devices. This panel will discuss many of the above mentioned issues and open the new pathways for regulatory issues and using AI in the medical device sector.

Thursday, July 29 16:05 - 16:10

Break

Thursday, July 29 16:10 - 17:10

BHI Special Session: Personalized Dietary Informatics for Precision Nutrition

Chairs: Benny Lo (Imperial College, United Kingdom (Great Britain)), Edward Sazonov (The University of Alabama, USA)
16:10 An Overview of Synthetic Food Image Generation
Yue Han and Mridul Gupta (Purdue University, USA); Edward Delp (Purdue University & School of ECE, USA)
16:18 Detecting Granular Eating Behaviors in Lab and Free-Living Environments
Mark Mirtchouk and Samantha Kleinberg (Stevens Institute of Technology, USA)
16:26 Nudging for good: Real-time AI-driven diagnostics and behavior change to improve adolescents' diets and nutrition in urban Ghana and Viet Nam
Aulo Gelli (International Food Policy Research Institute (IFPRI), USA); Noora-Lisa Aberman (GAIN, USA); Alejandra Arrieta (University of Washington, USA); Boateng Bannerman (GIMPA, ACCRA GHANA, Ghana); Bianca Braga (Tufts University, USA); Gloria Folson (University of Ghana, Ghana); Rohit Gangupantulu (Penn State University, USA); Phuong Huynh (National Institute of Nutrition, Vietnam); Bastien Koch (International Food Policy Research Institute (IFPRI), USA); Lan Tran Mai (FHI International, Vietnam); Peter C McCloskey (Pennsylvania State University, USA); Hoang Nga (National Institute of Nutrition, Vietnam); Phuong Nguyen (International Food Policy Research Institute (IFPRI), Vietnam); David Hughes (Penn State University, USA)
16:34 Privacy Enhancing Framework to Advance Models of Behavior
Nabil Alshurafa (Northwestern University, USA)
16:42 medipiatto: Promoting the Mediterranean Diet by using Meal Image Analysis and Artificial Intelligence
Stavroula Mougiakakou (University of Bern, Switzerland)
16:50 Estimating Food Volume in a Bowl Based on Geometric Image Features
Boyang Li and Wenyan Jia (University of Pittsburgh, USA); Zhi-Hong Mao (University of Pittsburg, USA); Thomas Baranowski (Baylor College of Medicine, USA); Lora Burke (University of Pittsburgh, Schools of Nursing, Public Health, and CTSI, USA); Mingui Sun (University of Pittsburgh, USA)

BHI Special Session: Sensor-based behavioral informatics in support of Health Management and Care

Chairs: Nikolaos Tachos (Unit of Medical Technology and Intelligent Information Systems, Greece), Manolis Tsiknakis (Hellenic Mediterranean University, Greece & FORTH -ICS, Greece)
16:10 Ageing@Work: Health Behavior Tracking Through a Mobile-Based Multimodal Framework
Andreas Triantafyllidis (Information Technologies Institute, Centre for Research and Technology Hellas, Greece); Dimitrios Giakoumis (CERTH-ITI, Greece); Konstantinos Votis (Information Technologies Institute, Centre For Research and Technology Hellas, Greece); Dimitrios Tzovaras (Centre for Research and Technology Hellas, Greece)
16:18 Behaviour profiling for adaptive personalized interactions of an AR smart glasses solution in the working environment
Evanthia E Tripoliti (University of Ioannina & Unit of Medical Technology and Intelligent Information Systems, Greece); Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece & University of Ioannina, Greece)
16:26 Estimation of Frustration Levels with Dynamic Bayesian Networks
Eleni Georga (University of Ioannina, Greece); Dimitrios Kikidis, Athanasios Bibas and Christos Nikitas (National Kapodistrian University of Athens, Greece); Isabelle Daniela Walz (Faculty of Medicine, University of Freiburg, Germany); Christoph Maurer (Neurologische Universitätsklinik, Germany); Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece & University of Ioannina, Greece)
16:34 Fostering Palliative Care through Behavioral Informatics
Lefteris Koumakis (Computational Biomedicine Laboratory, FORTH-ICS, Greece); Fatima Schera (Fraunhofer Institute for Biomedical Engineering IBMT, St Ingbert, Germany); Stefan Hoffmann (Promotion Software, Germany); Heather Parker (Atlantis Healthcare, United Kingdom (Great Britain)); Maria E Chatzimina (Foundation for Research and Technology - Hellas (FORTH), Greece); Panos Bonotis (Centre for Research and Technology Hellas, Greece & University of Western Macedonia, Greece); Panagiotis Argyropaidas and Giorgos Zacharioudakis (Foundation for Research and Technology - Hellas (FORTH), Greece); Pantelis Natsiavas (Centre for Research and Technology-Hellas (CERTH), Greece)
16:42 Resilience Indices for Breast Cancer Management
Haridimos Kondylakis (Computational Biomedicine Laboratory, FORTH-ICS, Greece); Panagiotis Simos (School of Medicine, University of Crete, Greece); Evangelos Karademas (University of Crete, Greece); Kostas Marias (FORTH, Greece); Paula Poikonen-Saksela (Helsinki University Hospital, Finland)
16:50 Automated Segmentation of a Timed Up and Go Test Using an Instrumented Cane
Ameya Sharad Valsangkar (University of New Brunswick & Institute of Biomedical Engieering, Canada); Pradeep Kumar and Erik Scheme (University of New Brunswick, Canada)

Thursday, July 29 17:10 - 18:10

BHI Session: Bioinformatics

Chair: Barbara Di Camillo (University of Padova, Italy)
17:10 Pneumothorax Segmentation In Chest X-Rays Using UNet++ And EfficientNet
Khai-My Vong (University of Science, Ho Chi Minh city, Vietnam); Tien Dinh (University of Science, Vietnam)
17:20 In Vitro Validation of a Novel Image-Based Inverse Method for Mechanical Characterization of Vessels
Bharath Narayanan (École Polytechnique Fédérale de Lausanne, Switzerland); Max L Olender (Massachusetts Institute of Technology, USA); Farhad Nezami (Brigham and Women's Hospital, USA); Elazer Edelman and David Marlevi (Massachusetts Institute of Technology, USA)
17:30 Computational insights on the molecular mechanisms across breast cancer progression combining gene differential expression and co-expression
Emmanouil Ikonomakis (University of Patras, Greece); Marilena Bourdakou and George Kolios (Democritus University of Thrace, Greece); Michael N. Vrahatis (University of Patras, Greece); George Spyrou (The Cyprus Institute of Neurology and Genetics, Cyprus)
17:40 Statistical Dependence between Neuronal Spike Train Pairs: Quantification based on Empirical Mutual Information Rate
Sathish Ande and Srinivas Avasarala (IIT Hyderabad, India); Ajith Karunarathne (The University of Toledo, USA); Lopamudra Giri and Soumya Jana (Indian Institute of Technology, Hyderabad, India)
17:50 KARGA: Multi-platform Toolkit for k-mer-based Antibiotic Resistance Gene Analysis of High-throughput Sequencing Data
Mattia Prosperi and Simone Marini (University of Florida, USA)

BHI Special Session: AI-driven Informatics and Technologies for Cardiovascular Care using multi-modal data from EMRs and/or Wearables

Chairs: Bobak Jack Mortazavi (Texas A&M University & Center for Outcomes Research and Evaluation - Yale University, USA), Wenyao Xu (SUNY Buffalo & Wireless Health Institute, USA)
17:10 ECGDualNet: A Dual-Purpose Pipeline Incorporating Signal and Image Processing for Automated Electrocardiogram Diagnosis
Veer Sangha and Rohan Khera (Yale University, USA)
17:18 Predicting Risk of Death 1-year after Hospital Discharge Using a Single Discharge Note among Patients with Acute Heart Failure
Ben Rosand, Dragomir Radev, Harlan Krumholz and Rohan Khera (Yale University, USA)
17:26 Personalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults with Type 1 Diabetes
Garrett Ash (Yale University, USA)
17:34 Predicting Generalization of Deep Learning Models on Medical Images Using Margin Signature
Victor Lee (Yale School of Medicine, USA); Sanjay Aneja (Yale University, USA)
17:42 On the development of an in-silico cloud computing platform for virtual patients in hypertrophic cardiomyopathy
Grigoris Grigoriadis, Vasileios C. Pezoulas, Maria Roumpi and George Gkois (University of Ioannina, Greece); Nikolaos Tachos (Unit of Medical Technology and Intelligent Information Systems, Greece); Momcilo Prodanovic (University of Kragujevac, Faculty of Engineering & Bioengineering Research and Development Center (BioIRC), Serbia); Danica Prodanović (University of Kragujevac, Faculty of Science & Bioengineering Research and Development Center (BioIRC), Serbia); Boban Stojanovic (University of Kragujevac, Faculty of Science, Serbia); Srboljub M. Mijailovich (Illinois Institute of Technology, USA); Nenad Filipovic (University of Kragujevac, Serbia); Dimitris Fotiadis (Institute of Molecular Biology and Biotechnology, FORTH, Greece & University of Ioannina, Greece)
17:50 Continuous Atrial Fibrillation Detection with a Smartwatch
Li Zhu, Viswam Nathan, Jilong Kuang and Jacob Kim (Samsung Research America, USA); Robert Avram and Jeffrey Olgin (University of California San Francisco, USA); Alex Gao (Samsung Research America, USA)

Thursday, July 29 18:10 - 18:40

Poster Session # 4

18:10 Quantifying the Effect of Body and Arm Posture on the Wrist Ballistocardiogram-Photoplethysmogram Pulse Transit Time
Azin Mousavi and Jin-Oh Hahn (University of Maryland, USA); Ramakrishna Mukkamala (University of Pittsburgh, USA); Sungtae Shin (University of Mayland, USA); Sophia Lyle and Elisabeth Jang (University of Maryland, USA); Peyman Yousefian (University of Mayland, USA); Dae-Geun Jang (Device Research Center, Samsung Advanced Institute of Technology, USA); Uikun Kwon (Samsung Electronics, Korea (South)); Youn Ho Kim (SAIT, Korea (South))
18:11 Classification of Blood Volume State via Wearable Physiological Sensing and Machine Learning
Yekanth Ram Chalumuri (University of Maryland, USA); Jacob Kimball (Georgia Institute of Technology, USA); Azin Mousavi (University of Maryland, USA); Jonathan Zia (Georgia Institute of Technology, USA); Christopher Rolfes (Translational Training and Testing Laboratories Inc. (T3 Labs), USA); Jesse Parreira (University of Maryland, USA); Omer T Inan (Georgia Institute of Technology, USA); Jin-Oh Hahn (University of Maryland, USA)
18:12 An Expansion for Automated Cardiac Anomaly Detection Frameworks with Multimodal Missing Data Imputation
Can Usanmaz, Matthew E White and Marcus Valancius (Georgia Institute of Technology, USA); May Dongmei Wang (Georgia Tech and Emory Univ, USA)
18:13 A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals
Michael Yang, Projna Paromita, Theodora Chaspari, Anurag Das and Seyedhooman Sajjadi (Texas A&M University, USA); Bobak Jack Mortazavi (Texas A&M University & Center for Outcomes Research and Evaluation - Yale University, USA); Ricardo Gutierrez-Osuna (Texas A&M University, USA)
18:14 Ambulation Assessment Using Depth Cameras
Zihang You, Alec Steele and Mehrdad Nourani (University of Texas at Dallas, USA); Melinda Bopp and Dennis Sullivan (Central Arkansas Veterans Healthcare System, USA)
18:15 Estimating the Quality of Reaching Movements in Stroke Survivors
Juhyeon Lee and Hee-Tae Jung (University of Massachusetts Amherst, USA); Sunghoon Ivan Lee (University of Massachusetts, USA)
18:16 skin lesion segmentation and classification using Mask RCNN and Transfer Learning
Lin Li and Wonseok Seo (Seattle University, USA)
18:17 Effect of exposure time in adaptive processing of Laser Speckle Contrast Imaging
E. Morales-Vargas (INAOE, Mexico); Hayde Peregrina-Barreto (Instituto Nacional de Astrofísica, Óptica y Electrónica, Mexico); Julio Cesar Ramirez-San-Juan (INAOE, Mexico)
18:18 Localization of Ocular Vessels with Context Sensitive Semantic Segmentation
Muhammad Zubair Khan (University of Missouri-Kansas City, USA)
18:19 Analysis of Regions of Interest and Distractor Regions in Breast Biopsy Images
Ximing Lu (University of Washington, USA); Sachin Mehta (Apple Inc., USA); Tad Brunyé (Tufts University, Medford, MA, United States, USA); Donald Weaver (University of Vermont, Burlington, VT, USA); Joann Elmore (University of California, Los Angeles, USA); Linda Shapiro (University of Washington, USA)
18:20 Behavioral Analysis of Airway Deformation during Drug Induced Sleep Endoscopy
Shane M Transue, Kevin R Macfarlane and Min-Hyung Choi (University of Colorado Denver, USA)
18:21 Screening Fundus Images to Extract Multiple Ocular Features: A Unified Modeling Approach
Muhammad Zubair Khan (University of Missouri-Kansas City, USA)
18:22 Improving Heart Transplant Rejection Classification Training using Progressive Generative Adversarial Networks
Ali Mirzazadeh, Arshawn Mohseni and Sahar Ibrahim (Georgia Institute of Technology, USA); Felipe O Giuste (Georgia Institute of Technology & Emory University School of Medicine, USA); Yuanda Zhu (Georgia Institute of Technology, USA); Bahig Shehata (Wayne State University School of Medicine, USA); Shriprasad Deshpande (Children's National Health System, USA); May Dongmei Wang (Georgia Institute of Technology and Emory University, USA)
18:23 A Pilot Study on Video-based Eye Movement Assessment of the NeuroEye Examination
Mohamed A Hassan (Electrical and Computer Engineering, USA); Xuwang Yin, Yan Zhuang, Chad M Aldridge, Timothy McMurry, Andrew Southerland and Gustavo Rohde (University of Virginia, USA)
18:24 A Mobile Device Application of Deep Learning for Onset Stroke Detection
Aaron C Lee (630 San Marino Ave & Flintridge Preparatory School, USA); Daniel Che (Academy for Advanced Research and Development, USA); Kevin Z. Qi (Boston College, USA); Evan Patton (Massachusetts Institute of Technology, USA); Tingying Helen Zeng (Academy for Advanced Research and Development, USA)
18:25 CovIdentify: Using Commercial Wearable Devices and Smartphones to Detect and Monitor COVID-19
Md Mobashir Hasan Shandhi, Peter J Cho, Ke Wang, Karnika Singh, Geoffrey S Ginsburg, Ryan J Shaw and Jessilyn Dunn (Duke University, USA)
18:26 A Mobile Application for Real-time Accelerometry and Electromyography Analysis in Rehabilitation with Cross-Axial Sensor Fusion Support
Alexandros Mathioudakis, Jeren J Koh and Krystyna Gielo-Perczak (University of Connecticut, USA)
18:27 Use of speech features to track the progression of dysarthria and identify early onset in people with Huntington's disease
Hung P Nguyen (BioSensics, USA); Meghan Pawlik (University of Rochester Medical Cneter, USA); Ray Dorsey, Madeleine Coffey, Christopher Tarolli and Ruth Schneider (University of Rochester Medical Center, USA); Bijan Najafi (Baylor College of Medicine, USA); He Zhou and Hamid Ebrahimi (BioSensics, USA); Ashkan Vaziri (BioSensics); Jamie Adams (University of Rochester Medical Center, USA)
18:28 Data-Driven Inference of Clinical Pathway Components for Identifying Basic Treatment Patterns from Electronic Health Records
Minsu Kim, Byung-Hoon Park, Ozgur Ozmen, Everett Rush and Junghoon Chae (Oak Ridge National Laboratory, USA); Makoto Jones, Randall Rupper, Jeffrey Humpherys, Merry Ward and Jonathan Nebeker (Veterans Administration, USA)
18:29 Leveraging Integrated Patient Information Using an Instrumented Wheelchair
Daniela America da Silva (Instituto Tecnológico de Aeronáutica, Brazil); Gildarcio Sousa Goncalves, Victor Pugliese and Julhio Navas (Brazilian Aeronautics Institute of Tehcnology, Brazil); Johnny Marques (Aeronautics Institute of Technology, Brazil); Luis Alberto Vieira Dias (ITA, Brazil); Adilson da Cunha and Paulo Tasinaffo (Brazilian Aeronautics Institute of Tehcnology, Brazil); Jose Augusto Lopes, Eduardo Yamanaka, Denise Tsukimoto and Linamara Battistella (University of Sao Paulo, Brazil)
18:30 Theory-Guided Randomized Neural Networks for Decoding Medication-Taking Behavior
Navreet Kaur (University of Virginia, USA); Manuel Gonzales IV (SDSU/UC San Diego Joint Doctoral Program in Clinical Psychology, USA); Cristian Garcia Alcaraz (SDSU/UCSD Joint Doctoral Program in Clinical Psychology, USA); Laura E Barnes (University of Virginia, USA); Kristen Wells (San Diego State University & SDSU/UC San Diego Joint Doctoral Program in Clinical Psychology, USA); Jiaqi Gong (University of Alabama, USA)
18:31 Event-Triggered Decision Support and Automatic Control Systems for Type 1 Diabetes
Xiaoyu Sun and Mudassir Rashid (Illinois Institute of Technology, USA); Mohammad Reza Askari (400 E. 33rd Street & Illinois Institute of Technology, USA); Nicole Hobbs, Rachel Brandt and Ali Cinar (Illinois Institute of Technology, USA)
18:32 Central Blood Pressure Estimation via Partially Individualized Multi-Channel Transfer Function
Zahra Ghasemi (Abbott Laboratories, USA); Jin-Oh Hahn (University of Maryland, USA); Hm Cheng (National Yang Ming Chiao Tung University, Taiwan); Shih-Hsien Sung (National Yang-Ming University, Taiwan); Ramakrishna Mukkamala (University of Pittsburgh, USA)
18:33 Prioritization of Multi-level Risk Factors in Depression Ratings after Treatment Using Multi-Task Learning
Lu Wang and Mark Chignell (University of Toronto, Canada); Martin Katzman, Sachinthya Lokuge, Geneva Mason and Kathryn Fotinos (S. T. A. R. T. Clinic, Canada); Haoyan Jiang (University of Toronto, Canada)
18:34 Hierarchical Clusters of Symptoms in Multi-Study Depression Data
Lu Wang, Mark Chignell and Haoyan Jiang (University of Toronto, Canada); Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos and Martin Katzman (S. T. A. R. T. Clinic, Canada)
18:35 COVID-19 Prevalence Estimation Using Multiple Linear Models
Rachel E Epperson (Georgia Institute of Technology, USA); Felipe O Giuste (Georgia Institute of Technology & Emory University School of Medicine, USA); May Dongmei Wang (Georgia Institute of Technology and Emory University, USA)
18:36 Evaluating the Impact of Holidays on COVID-19 Dynamics in the USA Using a SIRD Model
Sofiya Vyshnya, Soumil Nariani, Mikaila Dowd and Cauviya Selva (The Georgia Institute of Technology, USA); Felipe O Giuste (Georgia Institute of Technology & Emory University School of Medicine, USA); Wenqi Shi (Georgia Institute of Technology, USA); May Dongmei Wang (Georgia Institute of Technology and Emory University, USA)
18:37 Detecting Adverse Drug Events via Protein Sequence-Structure Similarity Networks
Saminur Islam (West Virginia University, USA); Ahmed Abassi (University of Notre Dame, USA); Nitin Agarwal (University of Arkansas at Little Rock, USA); Wanhong Zheng, Gianfranco Doretto and Donald Adjeroh (West Virginia University, USA)
18:38 Infusing Culture in Compartmental Epidemic Models
Eunice Santos (University of Illinois at Urbana-Champaign, USA); John Korah (California State Polytechnic University Pomona, USA); Suresh Subramanian and Vairavan Murugappan (University of Illinois at Urbana-Champaign, USA); Eugene Santos, Jr. (Dartmouth College, USA)
18:39 Mobile Depression Screening with Time Series of Text Logs and Call Logs
Monica L. Tlachac, Veronica Melican, Miranda Reisch and Elke Rundensteiner (Worcester Polytechnic Institute, USA)
18:40 Screening for Suicidal Ideation with Text Messages
Monica L. Tlachac (Worcester Polytechnic Institute, USA); Katherine Dixon-Gordon (University of Massachusetts Amherst, USA); Elke Rundensteiner (Worcester Polytechnic Institute, USA)

Friday, July 30

Friday, July 30 12:30 - 13:00

Poster Session # 5

12:30 Phonography-based Measurement of Fetal Heart Rate and Fetal Breathing Movements
Bálint Áron Üveges (Pázmány Péter Catholic University, Hungary); Ferenc Kovacs (Pazmany Peter Catholic University, Hungary)
12:31 Real-time implementation of EEG inverse problem solution through parallelization
Nikos Terzopoulos, Alkinoos Athanasiou, Konstantinos Mitsopoulos, Niki Pandria, Panagiotis Antoniou, Apostolos Praftsiotis and Athanasios Arvanitidis (Aristotle University of Thessaloniki, Greece); Alexander Astaras (American College of Thessaloniki, Greece); Ioannis Magras (Aristotle University of Thessaloniki, Greece); Panagiotis Bamidis (Medical School of the Aristotle University of Thessaloniki, Greece)
12:32 Exploring a disease network using random walks with bibliometric assessment to reveal potential disease-related pathways
Rafaella Solomou (University of Cyprus, Cyprus); Giannis Savva (KIOS CoE & University of Cyprus, Cyprus); Michalis Mavrovouniotis and Georgios Ellinas (University of Cyprus, Cyprus); Maria K Michael (University of Cyprus & KIOS Center of Excellence, Cyprus); George Spyrou (The Cyprus Institute of Neurology and Genetics, Cyprus); Costas Pitris (University of Cyprus, Cyprus)
12:33 Investigating common molecular signatures and network motifs for a group of neurodegenerative diseases
Erasmia Papaemmanouil (Aristotle University of Thessaloniki, Greece); Marilena Bourdakou (Democritus University of Thrace, Greece); Stefanos Sgardelis and Ioannis Antoniou (Aristotle University of Thessaloniki, Greece); George Spyrou (The Cyprus Institute of Neurology and Genetics, Cyprus)
12:34 Understanding the Significance of Marker-less Human Pose Estimation Systems for Clinical Biomechanics Analysis
Kai Armstrong (University of Lincoln, United Kingdom (Great Britain))
12:35 Wearable sensor network monitoring muscle activation and kinematics for use in serious gaming rehabilitation
Konstantinos Mitsopoulos, Panagiotis Antoniou, Apostolos Praftsiotis, Nikos Terzopoulos, Niki Pandria, Athanasios Arvanitidis and Alkinoos Athanasiou (Aristotle University of Thessaloniki, Greece); Alexander Astaras (American College of Thessaloniki, Greece); Ioannis Magras (Aristotle University of Thessaloniki, Greece); Panagiotis Bamidis (Medical School of the Aristotle University of Thessaloniki, Greece)
12:36 Gradient Boosting Algorithms to Classify fNIRS Signals
Dalchand Ahirwar (Indian Institute of Technology Mandi, India); Shweta Na (Indian Institute of Information Technology Allahabad, India); Kshitij Shakya (Indian Institute of Technology, Mandi, India); Shubhajit Roy Chowdhury (School of Computing and Electrical Engineering, IIT Mandi, India)
12:37 A Study on Potential Frequency Domain Indicators for STEMI Diagnosis Using Ultra-Short-Term ECG Signals
Ting Xiang and Nan Ji (City University of Hong Kong, Hong Kong); Yuanting Zhang (Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong)
12:38 A New Mathematical Model of Tonoarteriographic (TAG) Signal with Standard Aspects of its Wearable Measuring Devices
Nan Ji and Ting Xiang (City University of Hong Kong, Hong Kong); Yuanting Zhang (Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong)
12:39 A Lagrange Polynomial and Hilbert-Huang Transform-based Technology for Heart Rate Estimation with Photoplethymography
Yuan-Fu Cheng, Lih-Jen Kau, Chung-Ping Chen and Yen-Hsing Lin (National Taipei University of Technology, Taiwan)
12:40 Proposal and Validation of an Oral Cavity-Friendly Predictive Clinical Electrical Thermometer
Yuji Mizuno (Osaka Electro-Communication University & Faculty of Medical Science and Health-Promotion, Japan)
12:41 A Hybrid Factor Graph Model for Biomedical Activity Detection
Mareike Stender (German Research Center for Artificial Intelligence, Germany); Jan Graßhoff (Institute for Electrical Engineering in Medicine & Universität zu Lübeck, Germany); Tanya Braun (University of Luebeck, Germany); Ralf Möller and Philipp Rostalski (Universität zu Lübeck, Germany)
12:42 EMoCy: Towards Physiological Signals-Based Stress Detection
Armando Bellante (Politecnico di Milano & Alta Scuola Politecnica, Italy); Letizia Bergamasco (Politecnico di Torino & Alta Scuola Politecnica, Italy); Ana Bogdanovic (Politecnico di Milano, Serbia); Noemi Gozzi and Anisia Lauditi (Politecnico di Milano & Alta Scuola Politecnica, Italy); Lorenzo Gecchelin, Moaad Khamlich and Eleonora D'Arnese (Politecnico di Milano, Italy); Marco D Santambrogio (Politecnico di Milano & MIT, Italy)
12:43 Recurrence Quantification Analysis of Gait Rhythm in Patients Affected by Parkinson's Disease
Alessandro Mengarelli, Andrea Tigrini and Sandro Fioretti (Università Politecnica delle Marche, Italy); Federica Verdini (Universita' Politecnica delle Marche, Italy)
12:44 A Multilayer Perceptron-based Carotid-to-Femoral Pulse Wave Velocity Estimation using PPG Signal
Mohamed A. Bahloul (King Abdullah University of Science and Technology, Thuwal, Saudi Arabia); Abderrazak Chahid and Taous-Meriem Laleg-Kirati (King Abdullah University of Sciences and Engineering (KAUST), Saudi Arabia)
12:45 Disentangling the association between genetics and functional connectivity in Mild Cognitive Impairment
Heba Elshatoury (University of Tartu, Estonia); Federica Cruciani, Francesco Zumerle and Silvia Francesca Storti (University of Verona, Italy); André Altmann (University College London, United Kingdom (Great Britain)); Marco Lorenzi (Inria Sophia Antipolis, France); Gholamreza Anbarjafari (University of Tartu, Estonia); Gloria Menegaz and Ilaria Boscolo Galazzo (University of Verona, Italy)
12:46 Efficient Screening of Diseased Eyes based on Fundus Autofluorescence Images using Support Vector Machine
Shanmukh Reddy Manne (Indian Institute of Technology Hyderabad, India); Kiran Kumar Vupparaboina (University of Pittsburgh, USA); Gowtham Chowdary Gudapati and Ram Anudeep Peddoju (Indian Institute of Technology Hyderabad, India); Konkimalla Chandra Prakash (IIT Hyderabad, India); Abhilash Goud and Sarforaz Bin Bashar (L V Prasad Eye Institute Hyderabad, India); Jay Chhablani (LV Prasad Eye Institute Hyderabad, India); Soumya Jana (Indian Institute of Technology, Hyderabad, India)
12:47 Single-channel EEG-based subject identification using visual stimuli
Stamos Katsigiannis (Durham University, United Kingdom (Great Britain)); Pablo Arnau Gonzalez (University West Of Scotland, United Kingdom (Great Britain)); Miguel Arevalillo-Herráez (Universitat de Valencia, Spain); Naeem Ramzan (University of West of Scotland, United Kingdom (Great Britain))
12:48 Heart Rate Variability Extraction using Commodity Wi-Fi Devices via Time Domain Signal Processing
Itsuki Shirakami and Takashi Sato (Kyoto University, Japan)
12:49 Validation of mobile device recording for estimating acoustic voice features
Vitória S Fahed (University College Dublin & Insight Centre for Data Analytics, Ireland); Emer Doheny and Madeleine Lowery (University College Dublin, Ireland)
12:50 Bibliometric Analysis of Blockchain Research in Health- Year 2020 as Catalyst for Development
Matthew Pears and Stathis Konstantinidis (University of Nottingham, United Kingdom (Great Britain))
12:51 Preserving Privacy in Human-Motion Affect Recognition Abstract
Matthew K Malek-Podjaski and Fani Deligianni (University of Glasgow, United Kingdom (Great Britain))
12:52 Bluetooth-based Wireless Electromagnetic Tracking and Navigation System
Charu Pande (Tyndall National Institute & University College Cork, Ireland); Herman Alexander Jaeger and Kilian O'Donoghue (Tyndall National Institute, Ireland); Padraig J Cantillon-Murphy (Tyndall National Institute & Quadrant Scientific, Ireland)
12:53 Multi-platform Conversational System for Patients Information Collecting in Dermatological Scenarios
Surya Roca (University of Zaragoza, Spain); Yolanda Gilaberte (Miguel Servet University Hospital, IIS Aragón, Spain); José García and Alvaro Alesanco (University of Zaragoza, Spain)
12:54 A Natural Language Processing-based Microservice System for Healthcare Scenarios
Surya Roca (University of Zaragoza, Spain); Sophie Rosset (Université Paris-Saclay, CNRS, LIMSI, France); José García and Alvaro Alesanco (University of Zaragoza, Spain)
12:55 Impact of pain on physiological signals in home cancer patients: a cosinor analysis
Serena Moscato and Pierpaolo Palumbo (University of Bologna, Italy); Vittoria Sichi, Andrea Giannelli, Rita Ostan and Silvia Varani (ANT Foundation, Italy); Lorenzo Chiari (University of Bologna, Italy)
12:56 An Integrated System for Online Pharmacy Drug Product Matching
Chenxi Dong (China); Qingpeng Zhang (City University of Hong Kong, China); Bin Hu (111, Inc., China); Dalue Lin and Junchang Zhang (China); Kang Cao, Yuechun Yu and Zhichao Yan (111, Inc., China)
12:57 Deployment of Physiologic-Heart Rate Indices in Mental Healthcare
Omid Jamalipournokandeh (Niigata University, Japan); Yana Kazuo (Hosei University, Japan); Junichi Hori (Niigata University, Japan)
12:58 Automatic Storytelling from Wearable Sensor Data for Health and Wellness Applications
Ky Trung Nguyen (VTT Technical Research Centre of Finland Ltd., Finland); Jani Mäntyjärvi (VTT, Finland); Tran Thi Ngoc Nguyen (Ho Chi Minh City University of Food Industry, Vietnam)
12:59 A Comparison of Explanations given by Explainable Artificial Intelligence Methods on Analysing Electronic Health Records
Jamie Andrew Duell (Swansea University & UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing, United Kingdom (Great Britain)); Xiuyi Fan, Bruce Burnett and Gert Aarts (Swansea University, United Kingdom (Great Britain)); Shangming Zhou (University of Plymouth, United Kingdom (Great Britain))

Friday, July 30 13:00 - 14:00

BHI Special Session: Real World Data analytics supporting High Value Care

Chairs: Fernando Seoane (Karolinska Institutet & Karolinska University Hospital, Sweden), Vicente Traver (ITACA-TSB - Universidad Politecnica de Valencia, Spain)
13:00 Trusted Analysis Framework Requirements in Clinical Settings
María Dolón, Ivan Pau, María Luisa Martín and Ana Marta Gabaldón (Universidad Politécnica de Madrid, Spain)
13:08 Interactive Process Mining-based analysis for the pain management in Emergency Departments
Gema Ibanez-Sanchez (Universitat Politècnica de València, Spain); Angeles Celda (Hospital General Universitari de València, Spain); Carlos Fernandez-Llatas (Universitat Politècnica de València & TSB-ITACA, Spain); Vicente Traver (ITACA-TSB - Universidad Politecnica de Valencia, Spain)
13:16 LifeChamps: A Collective Intelligent Platform To Support Cancer Champions
Zoe Valero (Polytechnic University of Valencia, Spain); Carlos Fernandez-Llatas (Universitat Politècnica de València & TSB-ITACA, Spain); Pedro Louro (Capgemini Engineering, Portugal)
13:24 Pathways in the emergency department for elderly frail patients, a descriptive study leveraging process mining
Gustav Malmer (Karolinska Institutet, Sweden); Carlos Fernandez-Llatas (Universitat Politècnica de València & TSB-ITACA, Spain); Fernando Seoane (Karolinska Institutet & Karolinska University Hospital, Sweden); Eli Westerlund (Danderyds Hospital, Sweden); Björn af Ugglas (Karolinska University Hospital, Sweden)
13:32 Hollistic Hospital framework to Implement Interactive Process Mining within the Quadruple Aim Paradigm
Fernando Seoane (Karolinska Institutet & Karolinska University Hospital, Sweden); Carlos Fernandez-Llatas (Universitat Politècnica de València & TSB-ITACA, Spain); Ivan Pau (Universidad Politécnica de Madrid, Spain); Gema Ibañez (ITACA - Universitat Politecnica Valencia, Spain); Vicente Traver (ITACA-TSB - Universidad Politecnica de Valencia, Spain)
13:40 Transforming healthcare with big data analytics and artificial intelligence
Bernardo Valdivieso Martinez, Eva Salvo Marcos, Alberto Soto Martinez, Cesar Cano Cerviño and Javier Medina Alvarez (The University and Polytechnic La Fe Hospital of Valencia, Spain); Maria Eugenia Gas Lopez (The Medical Research Institute of Hospital La Fe, Spain)

BHI Session: Sensor Informatics and Machine Learning

Chairs: Themis Exarchos (Ionian University & University of Ioannina, Greece), Fahmi Khalifa (Mansoura University, Egypt & University of Louisville, USA)
13:00 Classification of Cognitive Frailty in Elderly People from Blood Samples using Machine Learning
Shahidan Idris and Nasreen Badruddin (Universiti Teknologi PETRONAS, Malaysia)
13:10 Combining Multiple Annotations to Count Cells in 3D Cardiovascular Immunofluorescent Images
William Adorno, Laura Shankman and Donald Brown (University of Virginia, USA)
13:20 Respiratory Markers Significantly Enhance Anxiety Detection Using Multimodal Physiological Sensing
Asim H Gazi, Patrick Lis, Arshawn Mohseni and Christopher Ompi (Georgia Institute of Technology, USA); Felipe O Giuste (Georgia Institute of Technology & Emory University School of Medicine, USA); Wenqi Shi and Omer T Inan (Georgia Institute of Technology, USA); May Dongmei Wang (Georgia Institute of Technology and Emory University, USA)
13:30 Instrumented shoulder functional assessment using inertial measurement units for frozen shoulder
Ting-Yang Lu (National Yang Ming Chiao Tung University, Taiwan); Kai-Chun Liu (Research Center for Information Technology Innovation, Academia Sinica, Taiwan); Chia-Yeh Hsieh (National Yang Ming Chiao Tung University, Taiwan); Chih-Ya Chang (Tri-Service General Hospital, Taiwan); Yu Tsao (Research Center for Information Technology Innovation, Academia Sinica, Taiwan); Chia-Tai Chan (National Yang Ming Chiao Tung University, Taiwan)
13:40 Assessing the Influence of the Inner Clock on the Cortisol Awakening Response and Pre-Awakening Movement
Robert Richer (Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany); Arne Küderle, Jana Dörr and Nicolas Rohleder (Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany); Bjoern M Eskofier (Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany)

Friday, July 30 14:00 - 14:30

Keynote Session 5

Digital Health Technology - leveraging real-world insights in mobility
Chair: Paolo Bonato (Harvard Medical School, USA)

Prof. Lynn Rochester, Newcastle University, UK. Digital Health Technology - leveraging real-world insights in mobility

ABSTRACT: Mobility is important - the last year has brought this into sharp focus. Mobility is not only a target for intervention, subtle features of mobility (such as how fast someone walks and how variable their steps are) provide us with a window into the brain and body and an indicator of health. As a clinician, mobility has been my focus. In particular, how do we keep people with neurodegenerative disease such as Parkinson's - mobile and safe? This propelled me towards the scientific study of gait - a key feature of mobility. The last 10 years have seen a revolution in digital technology (such as wearables and mobile devices) advancing the study of mobility. Implementing technology in the real-world allows further insights into health previously unobtainable and a ‘living-lab' approach to study and treat mobility loss. Continuous monitoring captures the challenges of mobility that play out in real-time at the intersection between personal, contextual and environmental demands and bring a personalized focus to healthcare. However, large scale implementation of real-world mobility assessment and treatment, although promising, remains tantalizingly out of reach. This talk will focus on experiences and insights using digital technology to quantify mobility in Parkinson's disease, explore challenges to extract meaningful insights from continuous real-world mobility data, and highlight future possibilities. Throughout I will draw on my own experience using digital technology and leverage insights from the work of the Mobilise-D consortium (https://www.mobilise-d.eu/), a large international effort to translate real-world mobility assessment to research and healthcare.

Friday, July 30 14:30 - 15:00

Keynote Session 6

Leveraging Electronic Health Records for Precision Health
Chair: Benny Lo (Imperial College, United Kingdom (Great Britain))

Prof. Marylyn D. Ritchie, Professor in the Department of Genetics, Director of the Center for Translational Bioinformatics, Associate Director for Bioinformatics in the Institute for Biomedical Informatics, University of Pennsylvania School of Medicine, US. Leveraging Electronic Health Records for Precision Health

ABSTRACT: Biomedical data science has experienced an explosion of new data over the past decade. Abundant genetic and genomic data are increasingly available in large, diverse data sets due to the maturation of modern molecular technologies. Along with these molecular data, dense, rich phenotypic data are also available on comprehensive clinical data sets from health care provider organizations, clinical trials, population health registries, and epidemiologic studies. The methods and approaches for interrogating these large genetic/genomic and clinical data sets continue to evolve rapidly, as our understanding of the questions and challenges continues to develop. Through applying bioinformatics, statistics, and machine learning approaches to the rich phenotypic data of the EHR, these data can be mined to identify new and interesting patterns of disease expression and relationships. We have been exploring various translational bioinformatics technologies for evaluating the phenomic landscape to improve our understanding of complex traits. These techniques show great promise for the future of precision medicine and precision health.

Friday, July 30 15:00 - 15:05

Break

Friday, July 30 15:05 - 16:05

Industry Panel

The Evolution of AI products/services in medical informatics
Chair: Julien Penders (Bloomlife, USA)

In this session we will hear and discuss how advanced AI-enabled health informatics have impacted products and services offered by medtech and bioinformatics companies. We will hear the perspective of a handful of selected companies developing novel AI-based solutions, including new devices, sensors, predictive analytics, digital tools and software solutions that contribute to improving and rethinking healthcare systems and promote a better quality of life. We will hear their views on the opportunities and the challenges associated with building new products and services that rely on AI. The format of the session will include short presentations by each participating companies, followed by a moderated panel discussion.

Friday, July 30 16:05 - 16:10

Break

Friday, July 30 16:10 - 17:10

BHI Special Session: Mobile Digital Solutions in Patient Care

Chairs: Galina Ivanova (University of Leipzig & Innovation Center Computer Assisted Surgery (ICCAS), Germany), Georgios Raptis (OTH Regensburg, Germany)
16:10 Toward an efficient mobile system for stroke case managers: requirements
Jean-Baptiste Tylcz (Leipzig University & ICCAS, Germany); Alexander Prost, Daniela Geisler, Daniela Urban and Max Schreiber (University of Leipzig, Germany); Till Handel (Interdisciplinary Competence Center Biomedical Data Science & Institute for Applied Informatics, Germany); Dominik Michalski (University of Leipzig, Germany); Galina Ivanova (University of Leipzig & Innovation Center Computer Assisted Surgery (ICCAS), Germany)
16:18 A Mobile Application for Documentation and Guiding of Stroke Patients - The LotsenApp
Christian Lüpkes and Timo Wolters (OFFIS - Institute for Information Technology, Germany); Andreas Hein (Universität Oldenburg, Germany)
16:26 Conceptual Design and Analysis of a Mobile Digital Identity for eHealth Applications
Dominik Spychalski (Fraunhofer Institute for Secure Information Technology SIT, Germany); Olaf Rode (Fraunhofer FOKUS, Germany); Markus Ritthaler (OTH Regensburg, University of Applied Sciences, Germany); Georgios Raptis (OTH Regensburg, Germany)
16:34 Mobile Sensors and Multi-Modal Integration in Health and Medical Applications
Max Schreiber (University of Leipzig, Germany); Till Handel (Humboldt-Universität zu Berlin, Germany); Jean-Baptiste Tylcz (Leipzig University & ICCAS, Germany); Galina Ivanova (ICCAS, Germany)
16:42 Requirements for Apps Providing Teleconsultation Services Between Nursing Homes, Home-Based Nursing Care, and Doctors
Jennifer Wolter (OTH Regensburg, University of Applied Sciences, Germany); Georgios Raptis and Luise Middel (OTH Regensburg, Germany); Markus Ritthaler (OTH Regensburg, University of Applied Sciences, Germany); Julika Loss (Robert Koch Institute, Germany); Bernd Ludwig (University of Regensburg, Germany)
16:50 Intersectoral Digital Patient Care - Challenges and Opportunities
Galina Ivanova (University of Leipzig & Innovation Center Computer Assisted Surgery (ICCAS), Germany); Max Schreiber (University of Leipzig, Germany); Till Handel (ICCAS, Universität Leipzig, Germany); Jean-Baptiste Tylcz (Leipzig University & ICCAS, Germany)

BHI Session: Imaging Informatics

Chairs: Ehsan Adeli (Unknown, USA), Huazhu Fu (Inception Institute of Artificial Intelligence, United Arab Emirates)
16:10 A Machine Learning Approach to Predict Acute Ischemic Stroke Thrombectomy Reperfusion using Discriminative MR Image Features
Haoyue Zhang and Jennifer Polson (University of California, Los Angeles, USA); Kambiz Nael, Noriko Salamon and Bryan Yoo (University of California, Los Angeles - David Geffen School of Medicine, USA); William Speier and Corey Arnold (University of California, Los Angeles, USA)
16:20 Cardiac Image Dynamic Visualization and Enhancement for Palpitation Collaborative Diagnosis Using Internet Synchronization
Qi Zhang (Illinois State University, USA); Terry Peters (Western University, Canada)
16:30 A Preliminary Assessment of the Impact of Scan Length on ICA Dimensionality & Network Features
Behnaz Jarrahi (Stanford, USA)
16:40 Utility of High-Throughput Imaging Mass Cytometry for Cancer Research: A feasibility study
Sindhura Thirumal, Amoon Jamzad, Tiziana Cotechini, Charles T. Hindmarch, Céline Hardy, Nathalia Kim, Amber Simpson, Charles H. Graham, David M. Berman, Robert Siemens and Parvin Mousavi (Queen's University, Canada)
16:50 Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention
Manli Zhu (Northumbria University, United Kingdom (Great Britain)); Qianhui Men (City University of Hong Kong, Hong Kong); Edmond S. L. Ho (Northumbria University, United Kingdom (Great Britain)); Howard Wing Ho Leung (City University of Hong Kong, Hong Kong); Hubert P. H. Shum (Durham University, United Kingdom (Great Britain))

Friday, July 30 17:10 - 18:10

BHI Special Session: Healthcare Analytics. Improving Healthcare outcomes using Multimedia Big Data Analytics

Chairs: Imran Razzak, Mr (Deakin University, Australia), Guandong Xu (University of Technology Sydney, Australia)
17:10 DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images
Nabeel Khalid and Mohsin Munir (German Research Center for Artificial Intelligence, Germany); Christoffer Edlund (Sartorius Corporate Research, Sweden); Timothy Jackson (Sartorius, BioAnalytics, United Kingdom (Great Britain)); Johan Trygg and Rickard Sjögren (Sartorius Corporate Research, Sweden); Andreas Dengel (Deutsche Forschungszentrum für Künstliche Intelligenz GmbH, Germany); Sheraz Ahmed (German Research Center for Artificial Intelligence, Germany)
17:18 Pinball Twin Bounded Support Vector Clustering
M. Tanveer, M. Tabish and Jatin Jangir (Indian Institute of Technology Indore, India)
17:26 ChrSLoc-Net: Machine Learning-Based Prediction of Channelrhodopsins Proteins within Plasma Membrane
Muhammad Nabeel Asim and Muhammad Ibrahim (German Research Center for Artificial Intelligence, Germany); Muhammad Imran MAlik (National University of Sciences and Technology, Pakistan, Germany); Andreas Dengel (Deutsche Forschungszentrum für Künstliche Intelligenz GmbH, Germany); Sheraz Ahmed (German Research Center for Artificial Intelligence, Germany)
17:34 Generative Adversarial Network with Local Discriminator for Synthesizing Breast Contrast-Enhanced MRI
Eunjin Kim (Sungkyunkwan University & MIPL, Korea (South)); Hwan-ho Cho, Eunsook Ko and Hyunjin Park (Sungkyunkwan University, Korea (South))
17:42 Uncertainty-based Self-training for Biomedical Keyphrase Extraction
Zelalem H Gero (Emory University, USA)
17:50 The Effects of Drugs and Sarcomeric Protein Mutations on Cardiac Muscle Function Estimated by Integrative Modeling Approach
Momcilo Prodanovic (University of Kragujevac, Faculty of Engineering & Bioengineering Research and Development Center (BioIRC), Serbia); Boban Stojanovic (University of Kragujevac, Faculty of Science, Serbia); Danica Prodanović (University of Kragujevac, Faculty of Science & Bioengineering Research and Development Center (BioIRC), Serbia); Nenad Filipovic (University of Kragujevac, Serbia); Srboljub M. Mijailovich (Illinois Institute of Technology, USA)

BHI Special Session: Computational Approaches in Neural Engineering

Chair: James Weiland (University of Michigan, USA)
17:10 Real-time optimization of retinal ganglion cell spatial response to epiretinal stimulation
Dorsa Haji Ghaffari (University of Michigan, USA); Akwasi Akwaboah (Johns Hopkins University, USA); Ehsan Mirzakhalili and James Weiland (University of Michigan, USA)
17:18 How morphological features influence thresholds to artificial stimulation in RGCs
Paul Werginz (Vienna University of Technology, Austria); Vineeth Raghuram and Shelley Fried (Massachusetts General Hospital, Harvard Medical School, USA)
17:26 Model-based Analysis and Optimization of Neural Recruitment During Spinal Cord Stimulation for Pain
Evan R Rogers, Hans J Zander, Ehsan Mirzakhalili and Scott Lempka (University of Michigan, USA)
17:34 Computational modeling of microelectrode recordings from an A-delta neuron in a dorsal root ganglion
Lauren R Madden, Robert Graham, Scott Lempka and Tim M. Bruns (University of Michigan, USA)
17:42 Developing predictive models for optimizing subject-specific deep brain stimulation for treating parkinsonian gait
Mojgan Goftari and Matthew Johnson (University of Minnesota, USA)

BHI Special Session: Challenges and opportunities in assessing biomarkers of mental states during cognitive demanding tasks

Chairs: Ricardo Couceiro (Universidade de Coimbra, Portugal), Marco Simoes (University of Coimbra, Portugal)
17:10 Biofeedback augmented software engineering: a new paradigm to improve software quality
Henrique Madeira (University of Coimbra, Portugal)
17:18 Intelligent Content Comprehension Assessment in Software Engineering
Haytham Hiajzi (University of Coimbra, CISUC, Portugal)
17:26 The role of the insula in cognitive demanding tasks
Joao Castelhano (University of Coimbra & CIBIT/ICNAS, Portugal)
17:34 Monitoring brain activations during programming tasks by Time Domain fNIRS and Electroencephalography
Caterina Amendola (Politecnico di Milano, Italy)
17:42 Establishing EEG as ground truth for the assessment of cognitive state in software development activities
Júlio Cordeiro Medeiros (University of Coimbra, Portugal)
17:50 A Non-intrusive Experimental Paradigm for Studying Cognitive Errors of Software Developers
Fuqun Huang (Institute of Interdisciplinary Scientists, USA)

Friday, July 30 18:10 - 18:40

Keynote 7

Large networks of disease-disease interactions at the medical and molecular level.
Chair: Maria Fernanda Cabrera (Universidad Politécnica de Madrid, Spain)

Prof. Alfonso Valencia, ICREA Research Professor and Director of the Life Sciences Department, Barcelona Supercomputing Centre, SP Large networks of disease-disease interactions at the medical and molecular level.

ABSTRACT: Biomedicine is confronting significant challenges for the handling and analysis of large data sets, among them a particularly relevant one is the interaction between diseases, i.e. disease comorbidities. Comorbidities are an important medical and social problem that demands an interpretation of the underlying physiological causes, as a necessary step to progress in its management and control. As a first step in this direction, we have analysed two complementary data sets, one composed by a large collection of expression data (RNAseq data 72 human diseases analysed by 107 studies, including a total number of 4.267 samples, from the GREIN platform) the other one base on medical records from three different medical systems (Blumenau, Brazil; Catalonia, Spain; and Indianapolis, United States) or from previous publications (Hidalgo et al. 2009 and Jensen et al. 2014). With this information, we have constructed two disease-disease interaction networks, one reflecting real-world medical associations and the other the similarities of the molecular profiles of patients of different diseases. Interestingly, the two networks have striking similarities in terms of their organization and characteristics. More importantly, we can show for the first time that most disease interactions have a counterpart at the molecular level. This molecular relationship can be translated into detailed molecular basis of specific disease interactions. I will discuss the implications of these results for the interpretation of diseases interactions at the level of specific genes and pathways, as well as the potential consequences for the management of disease comorbidities.

Based on the work of: Beatriz Urda-García, Jon Sanchez, Rosalba Lepore at BSC.

Poster Session # 4

Friday, July 30 18:40 - 19:00

Closing Ceremony, Best Paper, Best Poster Awards