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Er car
Source:
UCSF
October 9, 2024

Authors Chris Williams, Brenda Miao, Aaron Kornblith, and Atul Butte publish in Nature Communications.

AMIA
Source:
BCHSI
October 9, 2024

We are excited to share that several Bakar affiliated faculty, postdocs and staff will be presenting at AMIA 2024 Annual Symposium in November.

alice tang
Source:
AMIA
September 23, 2024

For her work on 'Leveraging Clinical Data and Knowledge Networks to Derive Insights Into Alzheimer's Disease'

American Medical Informatics Association (AMIA)
Source:
AMIA
September 20, 2024

Marina Sirota, PhD, (Bakar Acting Director) and Urmimala Sarkar, MD, MPH, (Affiliated Faculty)

vivek
Source:
Rainin Foundation
September 6, 2024

$1 Million Awarded To Two Early Career Researchers

atul butte
Source:
AMIA
August 23, 2024

The American College of Medical Informatics (ACMI) will present the 2024 Morris F.

atul
Source:
Association for Molecular Pathology Award
July 29, 2024

Dr. Butte will receive AMP’s highest honor for his groundbreaking work and noteworthy achievements in advancing molecular diagnostics and computational health sciences. 

Alice Tang And marina sirota
Source:
University of California
July 23, 2024

Alice Tang and Marina Sirota are featured in this UC News pieces on various big AI endeavors among all UCs - "Diagnosing Alzheimer’s in time for early intervention."

EHR flow
Source:
Nature Medicine
July 5, 2024

BCHSI affiliated faculty publish - Alice S. Tang, Sarah R. Woldemariam, Silvia Miramontes, Beau Norgeot, Tomiko T. Oskotsky & Marina Sirota

jamia
Source:
JAMIA
July 1, 2024

Real world evidence, AI - Reducing diagnostic delays in acute hepatic porphyria using health records data and machine learning

ai monitoring headline
Source:
UCSF DOC IT
May 29, 2024

BCHSI / DoC IT Julia Adler Milstein and Sara Murray (UC Health) lead the new Impact Monitoring Platform for AI in Clinical Care (IMPACC), to robustly assess clinical AI technologies for efficacy, s

Chris Williams
Source:
UCSF
May 20, 2024

BCHSI Postdoc / First author Chris Williams/UCSF-led study finds artificial intelligence is as good as a physician at prioritizing which patients need to be seen first.