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UC awards $18 million to scale up the ambition and impact of AI in science
Source:
UCOP

'AI-Driven Genomics at Scale: from Sequence to Function to Therapeutics' research has been awarded to Jimmie Ye to use LBNL's supercomputers to gain new understandings of how certain proteins on the surface of cells may contribute to or protect against disease.

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Researchers consider innovative, inclusive ways to develop and scale computational health
Source: UC Berkeley CDSS

The Frontiers of Computational Health conference gathered more than 150 academic and industry researchers, staff and students from disciplines across varied health specialties, computer science,…

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Physician and Large Language Model–Generated Hospital Discharge Summaries
Source: JAMA Internal Medicine

Chris Williams, Ben Rosner, et al publish in JAMA Internal Medicine - the study evaluated the quality and safety of discharge summary narratives generated by a large language model (GPT-4…

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Patterns in Symptoms Preceding Acute Care in Patients With Cancer
Source: JAMA Open Network

From Hong Lab - led by Chichi Chang, the team used natural language processing to evaluate symptoms experienced by >28k patients with cancer prior to emergency visits and hospitalizations.

Information Commons Wynton
End-to-End Information Commons now on Wynton
Source:
BCHSI
December 20, 2021

Integrating De-Identified Medical Images, Notes, EHR Data and More


 

Atul Butte Testifies before Congress
Atul Butte Testifies before Congress
Source:
BCHSI
December 8, 2021

Butte articulated priorities to Energy & Commerce Subcommittee on Health “Future of Biomedicine” Hearing.


 

An Entirely New Approach to Drug Discovery for AD
An Entirely New Approach to Drug Discovery for AD
Source:
Bakar
November 17, 2021
Precision Medicine to Address Prostate Cancer in Veterans
Precision Medicine to Address Prostate Cancer in Veterans
Source:
BCHSI
November 16, 2021

Franklin Huang: Providing precision oncology solutions for veterans using data science and focusing on disparities.

UCSF SPOKE featured at NSF Convergence Accelerator Expo
UCSF SPOKE featured at NSF Convergence Accelerator Expo
Source:
BCHSI
July 6, 2021

Learn about UCSF’s knowledge network project and other innovative work supported by NSF Convergence Accelerator.

AIMBE honors two Bakar Faculty
AIMBE honors two Bakar Faculty
Source:
BCHSI
March 19, 2021

Katie Pollard and Duan Xu are inducted into the prestigious American Institute for Medical and Biological Engineering College of Fellows.

Introducing the enhanced March of Dimes database for preterm birth research
Introducing the enhanced March of Dimes database for preterm birth research
Source:
BCHSI
November 24, 2020

Marina Sirota helps establish a new and improved database for preterm birth research as part of the March of Dimes Prematurity Research Network.

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Ushizima develops image recognition algorithms to diagnose COVID-19
Source:
BERKELEY LAB COMPUTING SCIENCES
June 1, 2020

Dani Ushizima explores algorithms and a data analysis pipeline to help accurately distinguish COVID-19 abnormalities in CT scans and chest X-rays.

BCHSI Faculty Named on Forbes' 30 under 30
BCHSI Faculty Named on Forbes' 30 under 30
Source:
UCSF
December 10, 2019

Vijay Ramani has been named to Forbes magazine’s annual 30 Under 30 list of rising stars in healthcare.

Unprecedented Partnership to Advance Data in Biomedicine
Unprecedented Partnership to Advance Data in Biomedicine
Source:
UCSF Precision Medicine
November 7, 2019

Sergio Baranzini and Sharat Israni will lead the NSF award & collaborate with Google, Lawrence Livermore Library, and Institute Systems for Biology.

Julia Adler-Milstein Elected to the National Academy of Medicine for 2019
Julia Adler-Milstein Elected to the National Academy of Medicine for 2019
Source:
UCSF
October 21, 2019

Four UCSF faculty members are among the 100 new members elected to the National Academy of Medicine this year, including BCHSI affiliate faculty Julia Adler-Milstein.

Brain Maps Allow Individualized Predictions of FTD Progression
Brain Maps Allow Individualized Predictions of FTD Progression
Source:
UCSF
October 14, 2019

Seeley and colleagues used maps of brain connections to predict how brain atrophy would spread in individual patients with frontotemporal dementia.