UCSF AI News

  • UCSF Grad Slam: This is Your Brain on Your Mother Tongue

    By Laura López González on

    Ten UCSF graduate students presented their research in accessible, 3-minute talks at the 2024 Grad Slam event. This year’s first-place talk was by Ilina Bhaya-Grossman on how our brains make meaning out of groups of vowels, consonants and pauses in our native tongues to recognize words.

  • Allen Institute Joins Weill Neurohub

    By Laura Kurtzman on

    The Allen Institute is the newest member of the Weill Neurohub, a collaborative research network advancing treatments for neurological diseases.

  • Can AI Help Doctors Find Cancer Faster by Reviewing Records?

    By Jess Berthold on

    Artificial intelligence could potentially help extract liver tumor data at a much faster and accurate rate, setting possibilities for improved liver cancer care.

  • How AI Can Help Spot Early Risk Factors for Alzheimer’s Disease

    By Victoria Colliver on

    UCSF scientists found a way to predict Alzheimer’s disease up to seven years before symptoms appear by analyzing patient records with machine learning. Conditions that most influenced prediction of Alzheimer’s were high cholesterol and, for women, osteoporosis.

  • Genetic Discovery Reveals Who Can Benefit from Preterm Birth Therapy

    By Victoria Colliver on

    In a first, scientists at UCSF and Stanford identified genetic variants that predict whether a patient is likely to respond to treatment for preterm birth. Screening for mutations could allow doctors to target medications to those most likely to benefit. No medication is currently available in the U.S. to treat preterm birth.

  • Diagnostic Errors Are Common in Seriously Ill Hospitalized Adults

    By Victoria Colliver on

    A study of seriously ill patients from academic medical centers across the country has found that nearly a quarter had a delayed or missed diagnosis.

  • The Wonderful World of 3D+

    By Alexis Martin on

    How a suite of advanced 3D technologies is ushering in surgery’s most sophisticated era yet.

  • Artificial Intelligence: A Revolution for Health Care?

    By Elizabeth Daube on

    Could AI make nurses’ jobs – and our health care – better? Kay Burke, MBA, RN, who helps UCSF Health improve its digital tools, weighs in.

  • UCSF Entering 2024 ‘Amazingly Positioned’ to Lead in Health Care AI Revolution

    By Eric Brooks on

    It is clear the next year will be a pivotal one for UCSF ’s place in the growth and application of artificial intelligence in health care. Chancellor Sam Hawgood , MBBS, spent a significant portion of his 2023 State of the University address outlining steps UCSF has taken in the last 12 months to lead the AI revolution across health care, emphasizing his desire that the University not simply be part of the AI wave, but that UCSF ultimately transform into “the leading AI-enabled academic life sciences university.” There’s a real sense the University has that opportunity at its fingertips

  • Chancellor Sees UCSF Leading AI’s ‘New Era’ in Annual State of the University Address

    By Eric Brooks on

    UC San Francisco is well positioned to transform into a global leader in artificial intelligence enabled academic life sciences. That was the message UCSF Chancellor Sam Hawgood , MBBS, delivered as he laid out his vision for safely, equitably and responsibly leveraging the power of AI across UCSF’s mission areas in his State of the University address on Thursday. “Not surprisingly, it is hard to separate hype from reality and risk from benefit with any degree of confidence,” he noted. “That said, the field is highly dynamic, and it is certain that the current iterations of generative AI will