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UCSF
February 22, 2024

Alice Tang, lead author in Sirota lab, publishes in Nature Ageing.

atul butte
Source:
SF Examiner
February 15, 2024

Dr. Atul Butte, a pediatric physician at UCSF and the chief data scientist for the University of California Health System, said AI tools can help pinpoint what other drugs or treatment are necessary for the countless cancer variations and mutations.

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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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MS Society
February 2, 2024

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

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UCSF
January 30, 2024

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

Atul Butte
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 intersection of artificial intelligence (AI) and medicine.

Can AI use real-world data to teach us something randomized clinical trials can’t? How can physicians collaborate with companies to develop AI tools that benefit patients? And is AI a democratizing force that can scale privileged medical care to broader patient populations?

The future is to learn from the data, says Atul Butte, MD, PhD (Video), a distinguished professor and director of the Baker Computational Health Sciences Institute at the University of California San Francisco (UCSF) and chief data scientist over the entire University of California Health System.

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Source:
JAMIA Open
January 23, 2024

Latest publication from Butte lab

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Source:
Stanford
December 27, 2023

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

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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.

atul butte AI panel
Source:
UCSF
December 14, 2023

It is clear the next year will be a pivotal one for UCSF’s place in the growth and application of artificial intelligence in health care.