Keynote speakers

Transforming Longitudinal Care with Digital Biomarkers and Therapeutics

Deep Learning in Medicine: Some Lessons from Epidemiology and Genomics

[introductory/advanced] The AI-driven Healthcare of the Future

[intermediate] Multi-Modal Data Analysis in Population and Public Health

[intermediate/advanced] Virtual Patient Populations for In Silico Trials Using Generative AI Based on Multimodal Real-World Data

[introductory] Synergizing AI and Learning Health Systems to Transform Health

[introductory/advanced] Combination in a Hands on Lab for Harmonizing Radiology Datasets

[introductory/intermediate] Role of Data & Algorithms in Trustworthy Medical Imaging AI

[introductory/advanced] Translating Generative AI into Healthcare from Pharmacogenomics to Foundation Models

[intermediate/advanced] The AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Implementation

[intermediate/advanced] Advanced Computing for Biomedical Research and Discovery

[introductory] Toward Digital Twins: Multimodal AI for Imaging and Precision Medicine

[intermediate/advanced] Ethical and Scientific Challenges to Unlocking the Clinical Value of Artificial Intelligence

[introductory/advanced] Selected Case Studies of Medical Image Segmentation

[introductory/intermediate] Data: The Foundation, Constraint, and Failure Mode of Deployable Health AI

[advanced] Toward Virtual Patient: AI for Accelerating Medical Discovery

[introductory/advanced] Generative AI for Protein Design

[intermediate] Multimodal AI for Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainability

[introductory/intermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research and Discovery

[intermediate/advanced] Data Representations in Health Digital Twinning: From Features to Foundation Models