CPH in the Media
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From Data to Impact
CPH co-director Maya Petersen talks to the Other 80 podcast about how to build a future where local public health leaders have the tools and data to ask and answer complex policy decisions in real time.
UCSF CPH faculty to Develop AI Monitoring Platform for Clinical Care
CPH and UCSF Health faculty Julia Adler-Milstein and Sara Murray to lead the Impact Monitoring Platform for AI in Clinical Care (IMPACC), aiming to better analyze AI’s performance in healthcare.
Strengthening Open Science Through Shared Wisdom
CPH’s Daniel Wolfe talks with the Rockefeller Foundation about participation in their Brain Trust on models to develop, deploy, and sustain open-source health algorithms for the public good.
Transforming Cardiology Through Machine Learning
CPH and UCSF Department of Medicine’s Rima Arnaout talks to the JAMA Medical News podcast about the transformative potential of AI for cardiology, including improved interpretation of ultrasounds and echocardiograms and patient phenotyping.
The Center for Healthcare Marketplace Innovation to Improve Public Health
The Center for Healthcare Marketplace Innovation aims to shape the future of AI in healthcare through groundbreaking economic research, data partnerships, and more.
2024 STATUS List features Ida Sim in top 50 influential people shaping science of health and medicine
STAT NEWS honors the leadership and contributions of CPH’s Ida Sim–including her in the STATUS2024 list of fifty individuals in the world doing most to shape healthcare, life sciences, and biotechnology. Fellow honorees include Peter Lee of Microsoft Research, Nobel winner Katalin Karikó and other notables.
Using AI to Help Predict Onset of Alzheimer’s Disease and Genetic Risk Factors
Marina Sirota, Sergio Baranzini and colleagues use machine learning and knowledge graphs to predict Alzheimer’s onset up to 7 years in advance and identify possible genetic markers and risk factors by gender.
Providing Relief for Chronic Migraines with New Sensors and Computational Methods
Times Higher Education features Sandya Subramanian’s work to bring hope to chronic migraine patients through use of physiological sensors and analytical tools that analyse the autonomic nervous system for clues about the debilitating condition.