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UCSF researchers are studying whether large language models, a type of artificial intelligence (AI), can analyze the clinical notes of multiple physicians and other care providers to improve the diagnosis of complex liver conditions like hepatorenal syndrome (HRS).
Vikram Rao, director of the UCSF Epilepsy Center, discusses why a third of seizure patients don’t respond to medication and the promising new surgical and technological treatments available.
UC San Francisco’s Paul Farmer African Initiative for Research (PFAIR) supports African scientists in infectious disease research via mentorship, international collaboration, and sustainable funding.
Endocrine disruption during pregnancy and genetic drivers of bone disease were among the topics experts from UC San Francisco presented at the annual meeting of the Endocrine Society — ENDO 2025 — in
For patients with Parkinson's disease, changes in their ability to walk can be dramatic. “Parkinson’s gait,” as it is often called, can include changes in step length and asymmetry between legs. This
Curious about the future of health care? This UCSF Rosenman Institute podcast explores big ideas like at-home tests for early cancer detection and the next wave of weight loss treatments. Hear insights from the front-line innovators and entrepreneurs tackling health’s biggest challenges.
Microplastics have infiltrated our bodies. What does that mean for our health?
Leading cancer researchers from UC San Francisco presented talks about advances in targeted therapies, cancer genomics, using AI to personalize cancer treatment, improving diagnosis of hard-to-treat
This spring, UCSF Benioff Children's Hospital Walnut Creek Outpatient Cetner will become one of the only children's hospital on the West Coast to have an intestinal ultrasound (IUS) machine for children with IBD, making for a much better patient experience.
After a storied scientific career that began with the discovery of how hormones control genes, Keith Yamamoto, PhD, has retired.
A new EPA ban on TCE, a common industrial cleaning agent and contaminant, begins this year. UCSF’s Samuel Goldman, who led groundbreaking research to link TCE to Parkinson’s Disease, talks about the health risks.
High percentages of children under thirteen years old use social media apps that are meant for ages thirteen and over. Experts suggest parents model healthy behaviors to avoid health risks in children.
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The quest to defeat HIV/AIDS didn’t just turn a deadly virus into a manageable condition. It transformed science and health care.
Insights from human evolution could change how we understand and treat illness.
Researchers at UCSF and UCLA created an AI algorithm to analyze health records, identify patterns and flag potential AHP patients, aiming to enhance diagnosis of rare diseases.
Artificial intelligence has revolutionized medical imaging. Here are four ways that AI is changing medicine in pictures - and the UCSF minds behind them.
A technique involving the use of light pulses to prevent seizure-like activity in neurons could one day become a new, non-invasive treatment for epilepsy.
An AI-based diagnostic system reveals cancerous tissue that may not otherwise be visible during brain tumor surgery. This enables neurosurgeons to remove it while the patient is still under anesthesia – or treat it afterwards with targeted therapies.
A decade-long effort has resulted in a new, rapid genomic test to diagnose rare infectious diseases in the brain and lungs.
The UCSF Health Atlas, an interactive mapping tool for health data that debuted just as the COVID-19 pandemic took hold, is launching this month with data from all 50 states, plus the District of Columbia and Puerto Rico, along with climate data.
AI models can't beat humans when it comes to triaging emergency medical care.
A new study is projecting that the number of people in the U.S. with atrial fibrillation, a common precursor to stroke, is about three times higher than previous estimates. An estimated 35% of people with a-fib will have a stroke.
A new video-based symptom assessment system for Parkinson’s Disease that is enabled by machine learning represents a potential solution to the challenge of assessing Parkinson’s Disease progression in a quantifiable way.
A UCSF-created child-parent therapy for trauma in kids under age 5 was found to slow down biological aging, which is tied to health benefits later in life.
