UCSF AI News

  • David Morris Named Vice Chancellor of UCSF Innovation Ventures

    David Morris, MD, a pharma executive with experience in research and development, venture capital and developing early-stage biotech companies – as well as deep roots in academic medicine – has been named Vice Chancellor for Business Development, Innovation and Partnerships at UCSF.

  • Electric Scooter and Bike Accidents Are Soaring Across the U.S.

    By Elizabeth Fernandez on

    Electric bikes and scooters have soared in popularity in recent years, but a UCSF study has found that accidents stemming from these "micromobility" vehicles have also soared.

  • Five Questions for Sepideh Banava

    By Editorial Staff on

    Sepideh Banava, DDS, MSc, MPH, MBA, aims to use artificial intelligence to develop a tool that will help dentists screen for intimate partner violence.

  • Emergency Department Packed to the Gills? Someday, AI May Help

    By Jess Berthold on

    With further validation and clinical trials, the use of artificial intelligence in emergency departments could one day help prioritize patients based on the urgency of their treatment, and help with triage in emergency care.

  • 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.