IEEE BHI Workshop

Overview

This workshop will explore healthcare digital twins for continuous monitoring, early detection, and personalized management of chronic diseases. Conditions such as colorectal cancer, inflammatory bowel disease, and chronic kidney disease affect millions of individuals worldwide and impose substantial clinical and economic burdens, yet current care pathways rely primarily on episodic clinical encounters, laboratory testing, and reactive interventions. While these approaches are clinically validated, healthcare providers often face substantial workload pressures and limited time per patient. In addition, reliance on in-person visits and diagnostic testing can be time-consuming and costly for both patients and healthcare systems. A key research challenge is how to move from episodic and reactive care toward continuous, proactive, and personalized care.

Recent advances in sensing technologies, health data infrastructure, and artificial intelligence have created opportunities to address this challenge. One promising approach is the development of healthcare digital twins, computational representations of physiological systems that integrate multimodal patient data with computational models to support continuous monitoring and personalized disease management.

The workshop will feature invited talks alongside contributed presentations selected through an open call.

Scope and Topics of Interest

The workshop will focus on several thematic areas relevant to healthcare digital twins.

Multimodal Data for Digital Twins

Integration and analysis of diverse health data sources, including:

physiological sensing data from wearable devices
smartphone-based data collection and mobile health applications
behavioral and lifestyle monitoring
electronic health records and laboratory data
patient-reported health information

AI and Computational Models for Digital Twins

Computational approaches for modeling physiological systems, including:

mechanistic and physiology-based models
machine learning and data-driven predictive models
hybrid models combining mechanistic and AI-based approaches

Disease Progression Detection and Personalized Management

Digital twin–based approaches for improving disease monitoring and care strategies, including:

early detection of disease progression
population-level predictive models
AI-assisted disease assessment and decision support
personalized disease management strategies

Healthcare Systems and Access

Integration of digital twin technologies into healthcare practice and delivery systems, including:

clinical integration of digital twin tools
applications in primary care and preventive care
improving healthcare accessibility and continuity of care

Important Dates

Milestone	Target Date
Workshop abstract submission deadline	1 October 2026
Workshop acceptance notification	15 October 2026
Workshop date	12 December 2026

Submission Guidelines

The workshop invites one-page abstracts presenting research, emerging ideas, case studies, prototypes, or work in progress related to healthcare digital twins, chronic disease monitoring, and personalized healthcare.

Submission requirements

Abstracts should be limited to one page.
Submissions must be written in English and submitted in PDF format.
The abstract should clearly describe the motivation, proposed approach or study, key findings or expected contribution, and relevance to the workshop.
Submissions should include the title, author names, affiliations, and contact information for the corresponding author.

Review and selection

Abstracts will be reviewed by the Workshop Program Committee based on:

relevance to the workshop scope,
originality and significance,
technical or clinical quality,
clarity of presentation, and
potential to stimulate discussion and collaboration.

Selected abstracts will be invited for oral presentation at the workshop.

Submission site: https://easychair.org/conferences/?conf=hdtbhi2026

Workshop Tentative Schedule

Segment	Presenter	Duration
Opening Remarks	Workshop Organizers	10 min
Invited Talk 1: Personalised Healthcare Transformation Through New Technology and Next Generation Deep Learning	Andrea Townsend-Nicholson, University College London, UK	30 min
Invited Talk 2: Toward Trustworthy Healthcare Digital Twins: From Multimodal AI to Personalized Clinical Decision Support	Adnan Haider, University of Ulsan College of Medicine and Asan Medical Center, Republic of Korea	30 min
Contributed Presentations: Session 1
NephroTwin: A Digital Twin Framework for Proactive and Personalized Management of Chronic Kidney Disease	Sayed Chhattan Shah, Southern Illinois University Carbondale, USA	15 min
From Wearable IoT to a Mental Health Digital Twin: Federated, Privacy-Preserving Mood Monitoring at the Edge	Muhammad Aslam Jarwar, Sheﬃeld Hallam University (SHU), UK	15 min
Contributed Presentation: TBA	TBA	15 min
Break		10 min
Contributed Presentations: Session 2
Contributed Presentation: TBA	TBA	15 min
Contributed Presentation: TBA	TBA	15 min
Contributed Presentation: TBA	TBA	15 min
Discussion and Closing Remarks	Workshop Organizers	10 min

Advisory Chair

Andrea Townsend-Nicholson

Professor of Biochemistry and Molecular Biology
University College London, UK
a.townsend-nicholson@ucl.ac.uk

Workshop Organizers

Sayed Chhattan Shah

Assistant Professor
School of Computing
Southern Illinois University Carbondale, USA
sayedchhattan.shah@siu.edu

Spiros Denaxas

Professor of Biomedical Informatics
Institute of Health Informatics, University College London, UK
s.denaxas@ucl.ac.uk

Manish Chand

Associate Professor of Surgery
Consultant Colorectal Surgeon
UCL Hawkes Institute, University College London, UK
m.chand@ucl.ac.uk

Muhammad Bilal

Senior Lecturer
School of Computing and Communications
Lancaster University, UK
m.bilal8@lancaster.ac.uk

Taqi Raza

Assistant Professor
Department of Electrical and Computer Engineering
University of Massachusetts Amherst, USA
taqi@umass.edu

Adnan Haider

Research Assistant Professor
College of Medicine, University of Ulsan
Medical Imaging and Intelligent Reality Lab, Asan Medical Center
Seoul, Republic of Korea
adnanhaider@mail.ulsan.ac.kr

Contact

For questions about the workshop, please contact:

Sayed Chhattan Shah
sayedchhattan.shah@siu.edu