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AI Bots Accurately Analyze Big Data Set to Predict Preterm Birth
Source:
UCSF News

Building on work that computer scientists had already done with pregnancy data, young researchers use AI to make viable prediction models. Senior Co-Author Marina Sirota et al publish findings in Cell.

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Association of mental health disorders and all-cause mortality for patients with cancer: Large-scale analysis of University of California Health System Data
Source: American Cancer Society

Lead Author Julian Hong publishes in Cancer. “Over the past several years, we’ve had an increasing appreciation for the important relationship between cancer, its treatment, and mental…

Peng He
Toward informed batch correction for single-cell transcriptome integration
Source: Nature Computational Science

BCHSI Affiliated Faculty Peng He, PhD, assistant professor in the Department of Pathology, recently published in Nature Computational Science "Toward informed batch correction for  …

alice tang
Alice Tang Selected to Forbes 30 Under 30 - Science
Source: Forbes

Alice Tang is using AI computational tools to understand and diagnose complex diseases like Alzheimer's...

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Association of mental health disorders and all-cause mortality for patients with cancer: Large-scale analysis of University of California Health System Data
Source:
American Cancer Society
February 24, 2026

Lead Author Julian Hong publishes in Cancer.

marina sirota
AI Bots Accurately Analyze Big Data Set to Predict Preterm Birth
Source:
UCSF News
February 24, 2026

Building on work that computer scientists had already done with pregnancy data, young researchers use AI to make viable prediction models.

Peng He
Toward informed batch correction for single-cell transcriptome integration
Source:
Nature Computational Science
February 23, 2026

BCHSI Affiliated Faculty Peng He, PhD, assistant professor in the Department of Pathology, recently published in Nature Computational Science "Toward informed batch correction for  si

alice tang
Alice Tang Selected to Forbes 30 Under 30 - Science
Source:
Forbes
December 4, 2025

Alice Tang is using AI computational tools to understand and diagnose complex diseases like Alzheimer's...

atul butte
2026 Butte Student Award Announcement
Source:
BCHSI
December 1, 2025

Introducing The Atul Butte Innovation in Biomedical Data Science Student Award in honor of the Bakar Institute's founding Director,

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UCSF CoreHPC Accelerates UCSF-GPT Training from Eight-10 Months to Under 11 Hours
Source:
UCSF ARS
November 14, 2025

BCHSI researcher Rohit Vashisht, PhD, successfully trained UCSF-GPT–a 1.3 billion-parameter clinical foundation base model–in under 11 hours using UCSF’s CoreHPC infrastructure.

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Congratulations 2026 FAMIA Inductees
Source:
AMIA
November 5, 2025

Congratulations to Julian Hong on 2026 FAMIA Applied Informatics Recognition Program!

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BCHSI / UCSF Datasets Selected to be Integrated into NAIRR Pilot
Source:
UCSF BCHSI
October 16, 2025

The U.S.

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Data-driven fine-grained region discovery in the mouse brain with transformers
Source:
Nature
October 14, 2025

BCHSI-Affiliated faculty Reza Abasi-Asl et al publish in Nature Communications where his lab introduces CellTransformer, an AI model that creates a fine-grained map of the brain with unpre

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Monitoring atopic dermatitis using mobile-app based photography and surveys
Source:
Journal of Dermatological Treatment
October 6, 2025

Remote monitoring of disease activity has the potential to improve research and clinical care in dermatology, but validated tools are lacking.

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Remembering Atul Butte, a Big Data Visionary With a Big Heart
Source:
JAMA Open Network
October 3, 2025

When Marina Sirota, PhD, first saw Atul Butte, MD, PhD, speak on the Stanford campus 20 years ago, she recalls being “blown away” by his ideas and enthusiasm.

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AI-Human Publication: Redefining Language and Neurodegeneration Through PPA
Source:
Japan Society for Higher Brain Function Research
September 29, 2025

BCHSI affiliated faculty Pedro Pinheiro-Chagas and co-authors Yu-Wen Cheng, Maria Luisa Gorno-Tempini, Boon Lead Tee publish their first AI-Human paper "Redefining language and neu