Computational Precision Health

Computational models for quantifying and allocating vaccines in a future pandemic

Artificial intelligence for modelling infectious disease epidemics

Assessing AI Fit and Function

Outside the Clinic Wearables, Open Platforms and Research Infrastructure

Foundation Models to Transform Workflow and Clinical Care

CPH: a Different AI Education

Beyond Simple Prediction: AI/ML and Causal Inference

From Discovery to Deployment: The AI-Powered Journey

Keynote by Eric Horvitz, Frontiers in Computational Health conference. April 25, 2025

Madhumita Sushil, PhD. Benchmarks for Clinical Evaluation of Foundation Models.

Peter Washington, PhD

Health Equity in the Digital/Computational Ecosystem for Physical Activity & Other Health Conditions

Ruogu Fang PhD CPH Seminar 1 23 24

System incentives when considering AI advances in health

The data addition dilemma: when adding more data helps or hinders model performance

AI based risk detection models for personalized cancer screening

AI models for detecting heart disease and different patient types

Using LLMs to detect the influence of social determinants of health (SDOH) on liver transplants

Monitoring unconscious pain: nociception and personalized anesthesia management

SHIELD-RT: reducing acute care for cancer patients through machine learning

Leveraging AI and knowledge graphs to predict Alzheimer’s disease onset and risk.

Serina Chang, PhD Inferring and Simulating Human Behaviors for Public Health

Kajsa Kvist, PhD Novo Nordisk R&D and the use of AI

Luke Sagers, PhD, and Kiko Wemmer, MBA AI-Based Innovation in Healthcare and Life Sciences

Pranav Rajpurkar PhD - Human-AI Interaction in Radiology

Zack Ziegler - OpenEvidence and the Real-World Power of AI

Julia Adler-Milstein, PhD Digital Transformation and Healthcare Innovation at UCSF

James Zou - How Are Medical AI Devices Evaluated, Updated and Deployed October 3, 2024

Julian Hong - The Smart Cancer Center September 26th, 2024