Artificial Intelligence for Early Pancreatic Cancer Risk Prediction and Personalized Surveillance
This project aims to build a multimodal artificial intelligence system that integrates multimodal and longitudinal data to predict pancreatic cancer risk, enable early detection, facilitate personalized and cost-effective surveillance, support timely intervention, and reveal imaging biomarkers that precede the onset of cancer.