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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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Ida Sim Honored on the STAT News "2024 STATUS List"
Source:
STAT News
March 4, 2024

BCHSI affiliated faculty Ida Sim makes list of “50 influential people shaping the future of health and life sciences.”

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How AI Can Help Spot Early Risk Factors for Alzheimer’s Disease
Source:
UCSF
February 22, 2024

Alice Tang, lead author in Sirota lab, recently published in Nature Aging.

atul butte
Artificial intelligence is poised to revolutionize cancer diagnosis in patients
Source:
SF Examiner
February 15, 2024

Dr.

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Public perspectives on the use of different data types for prediction in healthcare
Source:
JAMIA
February 8, 2024

BCHSI faculty Julia Adler Milstein, et al explore public comfort with the use of different data types for predictive models

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National Multiple Sclerosis Society Awards Dr. Sergio Baranzini the Barancik Prize for Innovation in MS Research
Source:
MS Society
February 2, 2024

Honored for applying Big Data to understand the origins of multiple sclerosis

pregnant woman
Genetic Discovery Reveals Who Can Benefit from Preterm Birth Therapy
Source:
UCSF
January 30, 2024

UCSF researchers call for precision-medicine approach that could identify targets for novel treatments.

Atul Butte
“Scalable Privilege”—How AI Could Turn Data From the Best Medical Systems Into Better Care for All
Source:
JAMA
January 26, 2024

This conversation is part of a series of interviews in which JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, and expert guests explore issues surrounding the rapidly evolving i

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Topic modeling on clinical social work notes for exploring social determinants of health factors
Source:
JAMIA Open
January 23, 2024

Latest publication from Butte lab

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Researchers uncover on/off switch for breast cancer metastasis
Source:
Stanford
December 27, 2023

In collaboration with UCSF's Hani Goodarzi, also an incoming Arc Institute Core Investigator, and Laura Van’t Veer.

march of dimes
March of Dimes Global Crowdsourcing Effort Yields Pair of Predictive Models for Preterm Birth
Source:
March of Dimes
December 21, 2023

Led by Marina Sirota

geoff tison
Geoff Tison Receive's NIH Director's New Innovator Award
Source:
Common Fund
December 20, 2023

Project Title: A Physiologically-Focused Approach to Training Multi-Modal

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Berkeley launches Agile Metabolic Health and open platforms initiative
Source:
UCB
December 18, 2023

Agile Metabolic Health aims to revolutionize the patient experience for millions of people with diabetes, catalyzing a new frontier of open-source, data-driven personalized healthcare.