UCSF AI News
How Optogenetics Can Put the Brakes on Epilepsy Seizures
By Robin Marks on
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.
This AI Tool Helps Neurosurgeons Find Sneaky Cancer Cells
By Suzanne Leigh on
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.
1 Genomic Test Can Diagnose Nearly Any Infection
By Levi Gadye on
A decade-long effort has resulted in a new, rapid genomic test to diagnose rare infectious diseases in the brain and lungs.
UCSF Health Atlas Expands Its Reach with Nationwide Mapping Tool
By Victoria Colliver on
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.
New Program Trains Data Scientists Who are Transforming Medicine
By Robin Marks on
The UCSF/UC Berkeley Joint Program in Computational Precision Health (CPH) welcomes its second cohort of PhD students this fall. Students train concurrently in computer science and clinical or public health practice, uniting disciplines that are usually studied in isolation.
When It Comes to Emergency Care, ChatGPT Overprescribes
By Robin Marks on
AI models can't beat humans when it comes to triaging emergency medical care.
How Many People Have A-Fib? Three Times More Than We Thought
By Elizabeth Fernandez on
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.
New Study: Can Your Phone and AI Track Parkinson’s Progression?
By Melinda Krigel on
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.
Powerful New Mini Microscope Will Enable Precision Cancer Surgery
By Levi Gadye on
Mekhail Anwar leads a multi-institution $15 million grant from ARPA-H to develop imaging technology to improve cancer surgery.
New Parkinson’s Treatment Helps Former Pro Keep Skateboarding
By Robin Marks on
An experimental adaptive deep brain stimulation (aDBS) device had tremendous success in a trial that helped a Parkinson’s patient, who is a former skateboarding professional, resume skating and mentoring San Francisco youth.