Turning Complex Data into Better Patient Care
CATI integrates multi-modal biomedical data—including genomics, proteomics, metabolomics, imaging, electronic health records, and immune signatures—to generate clinical insights that are transparent and actionable. CATI is uniquely positioned to accelerate translational AI research and build end-to-end pipelines that move discoveries from bench to bedside, enabling early disease prediction, precision diagnostics, and personalized treatment planning.
Led by Dr. Dokyoon Kim, CATI also serves as a hub for training, infrastructure, and collaborative research at Penn Medicine, fostering a learning healthcare system where AI-driven insights continuously inform and improve patient care.