2026 · AI Accelerator Grant
AI to Predict Exceptional and Poor Survival From Real World Biomarkers for Clinical Application
University of Michigan
Recipient

Leigh Pearce, PhD, MPH
Associate Professor and Associate Chair, Department of Epidemiology
University of Michigan
Project summary
This project uses advanced artificial intelligence to predict survival outcomes for people with high-grade serous ovarian cancer. By analyzing a wide range of clinical and biological data from hundreds of patients from Australia, Canada, the United Kingdom, and the United States, we hope to better identify which individuals will benefit from specific treatments, including clinical trials and PARP inhibitors. Our goal is to improve patient care, help tailor treatment choices, and ultimately enhance survival and quality of life for those facing this challenging disease.