Confirmed Speakers and Panelists

Peter Coveney

University College London

Hongfang Liu

Mayo Clinic

Eric Stahlberg

Frederick National Laboratory for Cancer Research

Qi Wang

University of South Carolina

Huanmei Wu

Temple University

Thomas Yankeelov

The University of Texas at Austin

Panel Moderator

Jun Deng

Yale University


US Central Time, May 1st, 2023

09:00 am - 10:30 am
· Opening remarks: Jun Deng, Yale University
· Building the Biomedical Digital Twin Ecosystem, Eric Stahlberg, Frederick National Laboratory for Cancer Research
· Monitoring and Predicting Metabolic Indices of Cancer Patients Using Patient-specific Deep Learning Models, Qi Wang, University of South Carolina
· Q&A, Interactive Discussions
10:30 am - 11:00 am
· Morning Break
11:00 am - 12:30 am
· A Contextual-aware Artificial Intelligence Framework for Event Labeling, Hongfang Liu, Mayo Clinic
· Virtual You: Building Digital Twins of the Human Body, Peter Coveney, University College London
· Q&A, Interactive Discussions
12:30 am - 01:30 pm
· Lunch
01:30 pm - 03:00 pm
· Imaging-based Digital Twins for Oncology, Thomas Yankeelov, University of Texas at Austin
· Transforming Patient Care and Biomedical Research with Digital Twins in Health, Huanmei Wu, Temple University
· Q&A, Interactive Discussions
03:00 pm - 03:30 pm
· Afternoon Break
03:30 pm - 05:00 pm
· Panel Discussion: DT Technologies, Use Cases, and Ethical Issues, Moderator: Jun Deng, Yale University
· Concluding Remarks, Jun Deng, Yale University

Topics (not limit to)

Multimodal data acquisition

Data standards and annotation for AI/ML

Real-world data integration and curation

Mathematical, statistical, and mechanistic modeling of organs and systems

Modeling and simulations of time-series data

Tumor microenvironment modeling and simulations

Physics-informed machine learning

Ethical and trustworthy AI for healthcare

Responsible and explainable AI for healthcare

Security and privacy in clinical AI

Robust and interpretable natural language processing for healthcare

AI and bioinformatics for improved healthcare

Mobile health for monitoring and intervention

AI-assisted clinical decision support

Human-in-the-loop AI

Knowledge representation and extraction

Important Dates

Mar 6, 2023

Submissions due

Mar 13, 2023

Acceptance notifications

Mar 20, 2023

Camera-ready submission

May 1, 2023

Workshop date


Jun Deng

Yale University

Ying Ding

The University of Texas at Austin

Luke Achenie

Virginia Tech

Jinwei Liu

Florida A&M University

Shimei Pan

University of Maryland, Baltimore County

Sanjay Purushotham

University of Maryland, Baltimore County

Huanmei Wu

Temple University

Qi Wang

University of South Carolina