UCSF AI News

  • Next Gen Pharmacists Hunt for New Breakthrough Drugs with AI

    By Talya Sanders on

    UCSF’s Master of Science program in Artificial Intelligence and Computational Drug Discovery and Development (AICD3) has seen success in setting up learners for sought-after careers in drug discovery, drug development, bioinformatics, and pharmacovigilance. One alum has even translated his capstone project into a job at Genentech.

  • UCSF Health Partners to Launch New Model to Build Healthcare AI

    By Kristen Bole on

    UCSF Health, Kleiner Perkins, and Doerr Capital launched UCSF Health Converge, a healthcare AI accelerator that helps startups build, test, and scale AI solutions for patient care in real-world clinical settings.

  • New Program at UCSF and UC Berkeley Will Drive Advances in Medicine

    UCSF and UC Berkeley have launched a joint program to develop the frontier of AI in biomedicine and accelerate advances in clinical care.

  • How a New AI Framework Can Help Doctors Build Better Tools

    By Victoria Colliver on

    Researchers at UCSF developed a new way to build clinical prediction tools that combines the speed of artificial intelligence with the judgment of human experts.

  • How New AI Cuts Breast Cancer Screening Time for High-Risk Women

    By Robin Marks on

    Using AI on mammograms can identify patients at highest risk for breast cancer and get them same-day follow up care, eliminating stressful waiting times.

  • Is Your Brain Aging Faster Than You Are? Sleep May Hold the Key

    By Suzanne Leigh on

    Poor sleep is associated with an increased risk for dementia, but many sleep studies have had inconsistent results. For the first time, used AI to analyze tiny electrical signals in the brain of 7,000 participants healthy participants to calculate “brain age." They find that dementia risk increases significantly when the brain age exceeds actual age.

  • NIH Funding Powers UCSF Research, with Nationwide Impact

    By Levi Gadye on

    UCSF received $824 million from the National Institutes of Health (NIH) in 2025 to drive the discovery, translational, and clinical science that leads to new treatments for disease and advances U.S. leadership in health and science.

  • As Health Care Goes Digital, Patients Are Being Left Behind

    By Victoria Colliver on

    An NIH-funded survey by UCSF researchers found that despite the fact that digital health will continue to be core in health delivery, less than half of surveyed health systems are checking for barriers to using patient portals, telemedicine, and other digital health tools.

  • AI Bots Accurately Analyze Big Data Set to Predict Preterm Birth

    By Levi Gadye on

    A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's reproductive health, with the goal of predicting pre-term births.

  • For Global Health Care Providers, the Stakes Have Never Been Higher

    By Talya Sanders on

    A Q&A with the executive director of the UCSF Institute for Global Health Sciences, Payam Nahid, that checks in on the state of global health in the wake of USAID and other cuts.