Computational Precision Health

🔥 🛋️ Robert Wachter, MD, Chair of Medicine at UCSF, and Ida Sim, MD, PhD, Co-Director of UCSF & UC Berkeley's Computational Precision Health sat down to dive into the effects of AI as it relates to deskilled clinicians and upskilled patients and what this means for clinics, hospitals, and policy guardrails. From sensibility of the tools were using, to who's really accountable when #tech companies enter the exam room, to #aivigilance — the conversation goes places you won't want to miss. 📺️ Watch the full recording on our Youtube channel (or click the link in our bio)! #aiinmedicine #healthtech #clinicalai #medtech #digitalhealth

“As we try to navigate our relationship and what it can do, what it can’t do, what the role of the humans is, it’s increasingly complex to try to figure out how does this all fit together.” Dr. Watcher explores the role of #empathy and human oversight in #AI-driven #healthcare during his Keynote Talk at #FiCPH2026. 📺 Watch the full recording & more shorts in the link in our bio!

Robert Wachter, MD, Chair of Medicine at @UCSF , provided the keynote for #FiCPH2026, highlighting how #AI is disrupting #healthcare & #medicine simply by being better than the current systems we're using. Wachter uses this thesis to base the rest of his informed optimist discussion on what the effects of AI adoption are, including privacy and security concerns, deskilling of the medical workforce, and why AI is so good, it really could change the system. 📺️ Watch the full recording on our Youtube channel (or click the link in our bio)!

Catherine Lucey provided the opening remarks for the 2026 Frontiers in Computational Precision Health Conference, noting what a remarkable time it is to be in this field, where AI is being deployed, large models are fundamentally changing the questions that researchers are asking, and what considerations need to be made, responsibly, ethically, and equitably. Check out the full recording on our YouTube Channel! #HealthAI #ComputationalHealth #FiCPH2026

Last month, the 2026 Frontiers in Computational Precision Health (FiCPH) Conference brought together the most brilliant researchers, clinicians, builders, and innovators to advance this emerging field — continuing a conversation around the most pressing questions in Health AI. Thank you @berkeleyctml for co-sponsoring this event with us! ⭐️ Missed FiCPH 2026? Check out our website by clicking the link in our bio for session recaps, poster presentations, and more! #FiCPH2026 #HealthAI #ComputationalHealth #PrecisionMedicine

Register for CPH C100 / DATA C146: Foundations for Computational Precision Health! This course offers hands-on experience building machine learning solutions for real-world healthcare challenges, alongside insights from clinicians and researchers. You’ll also explore key topics like bias, evaluation, and how these tools are applied in practice. 📚️ Course details: https://classes.berkeley.edu/content/2026-fall-cph-c100-001-lec-001 📝 Application to Enroll (click the link in our bio)! Please note: this course is only available to UC Berkeley students at this time. @berkeleycdss @ucberkeleypublichealth @dssberkeley @berkeleyischool @berkeleystatistics #ComputationalHealth #AIinHealthcare

Welcome to the CPH community, Adnan Alseidi, MD 👏 Adnan Alseidi, MD, Professor of Surgery at UCSF, joins the Computational Precision Health Affiliate Graduate Group, bringing expertise in computational frameworks, learning analytics, and clinical outcome prediction. #CPH #ClinicalAI #UCSF #UCBerkeley

Researchers from @ucberkeleyofficial and @UCSF launched Voio, a startup co-founded by Adam Yala, Maggie Chung and Trevor Darrell that aims to build AI models to help radiologists interpret images faster and more accurately. Voio’s tools are being designed to generate draft reports, freeing up radiologists to focus on patients, and to predict patient risk for serious conditions, including cancer, osteoporosis and heart failure years in advance. 🔗 Read more (link in bio): https://bit.ly/4tNEwro 📸: Bryan Walker Ting / Voio [Image description: Adam Yala wearing a t-shirt with the Voio logo.] @ucb_eecs | @ucsf_imaging | @ucjointcph

CPH 100 / DATA C146: Foundations of Computational Precision Health is open for Fall 2026 enrollment! This course offers hands-on experience building machine learning solutions for real-world healthcare challenges, alongside insights from clinicians and researchers. You’ll also explore key topics like bias, evaluation, and how these tools are applied in practice. 🔗 Application to Enroll is in the link in our bio! Please note: this course is only available to UC Berkeley students at this time. #ComputationalHealth #AIinHealthcare

Welcome to the CPH community, Maggie Chung, MD 👏 Maggie Chung, MD, Assistant Professor of Radiology at UCSF, joins the Computational Precision Health Affiliate Graduate Group and looks forward to teaching, mentoring, and collaborating on research to help train the next generation of leaders in computational precision health. #CPH #Radiology #UCSF #UCBerkeley

Congrats to Ida Sim, Ahmed Alaa, Irene Chen, Maya Petersen, and Fernando Perez from UCSF & UC Berkeley Computational Precision Health and the Berkeley Institute for Data Science (BIDS), recipients of a Laude Institute Moonshots seed grant in support of Edge Medicine, an initiative to bring intelligent, always-on AI tools to frontline healthcare aimed to improve patients’ everyday lives! Edge Medicine was selected under the program’s Frontline Healthcare domain, which focuses on AI applications to support diagnosis, treatment and patient care. The initiative will receive a $250,000 seed grant to fund six months of focused work toward a fully scoped proposal for a multi-year Moonshot lab and additional funding. Edge Medicine is one of eight projects selected for a seed grant from Laude Institute, a nonprofit that helps university-based computer science researchers bring their breakthroughs out of the lab and into the world. 🔗 Learn more (link in bio): https://bit.ly/48R0Gkq 📸: Brittany Hosea-Small [Image description: Edge Medicine team (left to right): Ahmed Alaa, Irene Chen, Fernando Pérez, Maya Petersen, and Ida Sim. Text reads: “Edge Medicine initiative awarded Laude Moonshots seed grant.”] @BerkeleyStatistics | @ucjointcph | @ucberkeleyofficial | @UCSF

We’re excited to share that the Center for Edge Medicine, a collaboration between researchers from @ucsfmedicine @ucjointcph and @berkeleycdss , is one of eight winners of the Laude Moonshots grant, funding open-source AI infrastructure for health. Check out our press release, link in bio!