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HA logo
Source:
Health Affairs
November 7, 2024

A. Jay Holmgren, Julia Adler-Milstein, et al - Documentation burden crowds out other high-value EHR tasks, in this case viewing outside records via health information exchange

cell
Source:
Cell
October 25, 2024

BCHSI affiliated faculty Jimmie Ye re-introduces Memento, a scalable method for differential analysis of scRNA-seq data - "first-in-class performance in statistical power and calibration for c

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