Julian Hong, MD, MS, featured in Oncology On The Go’s podcast episode, discussed considerations for optimizing care among patients with mental health disorders (MHDs) who are undergoing treatment for cancer.
Center for Edge Medicine Awarded Laude Moonshots Seed Grant to Build Open AI Infrastructure for Frontline Healthcare
Dr. Ida Sim and researchers from UCSF & UC Berkeley Computational Precision Health (CPH) and UC Berkeley Institute for Data Science (BIDS) have been awarded a Laude Moonshots seed grant in support of Edge Medicine, an initiative to bring intelligent, always-on AI tools to the frontier of healthcare: patients’ everyday lives.
A New Frontier: Computational Health and AI Innovation
Adam Yala, PhD, featured in this month’s podcast episode of the Data Science Education Podcast by UC Berkeley Data Science Undergraduate Studies, shares how AI is reshaping the future of healthcare and why computational health is emerging as its own distinct field.
A Systemwide Algorithmic Approach to Adjust Treatment for Individual Factors and Special Populations
Sunny Kishore, MD, PhD, MSc, featured in EurekAlert by AAAS, shares results from the team’s recent study, implementing the UC Way Hypertension Medication Algorithm, which improved blood pressure control from 68.5% to nearly 74% among 90,000 patients.
Integrating Human Interaction and Human Values into AI Development
Serina Chang, PhD, provided this month’s BAIR seminar covering her work on integrating human interaction and human values into AI development.
Sustainable East Africa Research in Community Health (SEARCH) Reduces New HIV Infections
Maya Petersen, MD, PhD, Co-Primary Investigator, and Laura Balzer, PhD, featured in Science.org, highlight latest results from a trial involving more than 160,000 people across 16 communities, testing the SEARCH Community Precision Health approach reducing new HIV infections by 70% in rural Kenya and Uganda.
Innovation in the Era of AI: what it takes to bring AI innovations to patients at scale
Julian Hong, MD, was interviewed by Laurel Skurko, discussing his pioneering work in radiation oncology and his perspective on where innovation is gaining traction, where it requires ongoing vigilance, and the lessons to be learned.
AI Bots Accurately Analyze Big Data Set to Predict Preterm Birth
Marina Sirota, PhD, featured in UCSF News, discussing her breakthrough work in using AI to generate codes which analyze health data to predict preterm birth.
Toward Personalized Healing: AI-Supported Wearables in Mental Health Practice
Peter Washington, PhD, featured in IEEE Pulse Magazine, discussing his pioneering work on combining AI with biosensors to detect and intervene on mental health conditions and substance use in real-time.
AI has a bias problem. Can we build something smarter?
Emma Pierson was featured in UC Berkeley News, discussing her work on algorithms and AI/ML methods for improving health care and reducing social inequality to make a healthier and fairer world.

