About us

Health digital twins are dynamic, computational representations of health and disease that span multiple levels of biological and social organization. This workshop convenes researchers, clinicians, data and standards experts, ethicists, and regulators to explore the science and practice of building trustworthy, multi-scale health digital twins, focusing on data harmonization, hybrid modeling, validation, and governance.

Important Dates

Sun, Mar 15, 2026

Deadline for abstract/paper submission

Sat, Mar 21, 2026

Notification of workshop paper acceptance

Sat, Mar 28, 2026

Camera ready workshop paper due

Mon, Jun 1, 2026

Workshop date

Paper Submission

Research Paper Submission Tracks

Digital twin

Health informatics

Real world evidence

Clinical development

Data architectures, standards, and interoperability

Multi-scale and hybrid modeling

Real-time sensing, streaming updates, and digital biomarkers from wearables

Clinical decision support and closed-loop systems informed by patient twins

Validation, benchmarking, and clinical evaluation protocols for twins

Explainability, visualization, and clinician/patient interaction design for trust

Privacy-preserving methods, federated learning and data governance in twins

Ethical, legal, and regulatory considerations for deployment and liability

Datasets, synthetic data, and reproducibility practices for twin research

Translational case studies: Oncology, Immunology, Cardiovascular disease, Neuroscience

Call for Papers Description

This workshop invites submissions exploring the design, evaluation, deployment, and governance of health digital twins with a particular emphasis on data interoperability, model validity, explainability, real-world clinical and population integration, and governance frameworks that enable trustworthy, equitable, responsible use, and clinical development impact in human‑centered health care.

Committee

Organizing Committee

Stephen Huo

Senior Director of R&D Integrated Evidence and Advanced Patient Modeling

Johnson & Johnson Innovative Medicine

Jiang Bian

Associate Dean of Data Science, Walther and Regenstrief Professor of Cancer Informatics, Professor of Biostatistics & Health Data Science, Chief Data Scientist for Regenstrief Institute, and Chief Data Scientist for Indiana University Health

Indiana University

Yu Huang

Assistant Professor

Department of Biostatistics and Health Data Science at the Indiana University School of Medicine

Huanmei Wu

Professor and Department Chair of Health Services Administration and Policy; Assistant Dean for Global Engagement

Temple University

Yi Qian

Vice President, R&D Integrated Evidence and Advanced Patient Modeling