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Information Commons Wynton
Source:
BCHSI
December 20, 2021

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


 

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

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


 

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
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
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
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.

CT Lung
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
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
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
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
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.