Creating computation for real-world settings to improve the quality, efficiency, and equity of medicine and public health
The UCSF UC Berkeley Joint Program in Computational Precision Health (CPH) is building a new discipline at the intersection of machine learning/AI, clinical and public health practice, and equity. CPH leverages UC Berkeley’s world leadership in computer science, engineering and statistics, UCSF’s top-tier clinical care, research and informatics, and population health at both institutions.
CPH is a first-of-kind interdisciplinary PhD training program and a research center with world-changing impact. We exemplify a new paradigm that combines computation with multimodal health data–from electronic health records, images, sensors, clinical notes, public health records and more–to tailor diagnosis, prevention, and treatment more precisely and effectively to individual patients and communities.
CPH offers an exceptional research and training environment with world-class faculty and students, robust, high-performance computing, unmatched access to clinical data (more than 130 million anonymized clinical notes, 7.5 million medical images, and data from more than 7 million patients from five University of California medical centers), and a partnership with UCSF Health for testing AI and machine learning tools in clinical practice. Our intellectual community, including more than 50 faculty from multiple disciplines, is embedded within clinical and public health practice settings that reflect the diversity of the San Francisco Bay Area and beyond.
CPH is creating a new class of talent leading the world in computational methods, algorithmic fairness, and deployment and evaluation of approaches to improve the quality, efficiency, and equity of medicine and public health.