UCSF Researcher Identifies Risk Genes for ALS
The largest analysis to date of genetic data in ALS has identified two previously unrecognized genetic risks that are significantly associated with the disease.
University of California San Francisco
Give to UCSFThe largest analysis to date of genetic data in ALS has identified two previously unrecognized genetic risks that are significantly associated with the disease.
Ata's appearance can most likely be explained by a handful of rare genetic mutations—some already known, others newly discovered—that are linked to dwarfism and other bone and growth disorders.
A type of AI known as advanced machine learning can classify essential views from heart ultrasound tests faster, more accurately and with less data than board-certified echocardiographers.
Irregular heart impulses that lead to stroke can be detected using a smartwatch with a specially designed application, a finding that could eventually lead to new ways to screen patients for earlier treatment.
Office visits offer doctors only a snapshot of chronic conditions. That’s where new mobile health-tracking technology can make a real difference, providing detailed and long-term health data for each patient.
Scientists from two U.S. national laboratories, industry, and academia on Oct. 27 launched an unprecedented effort to transform the way cancer drugs are discovered.
A research team led by scientists at UCSF has developed a computational method to systematically probe massive amounts of open-access data to discover new ways to use drugs.
In a major advance for fundamental biological research, UCSF scientists have developed a tool capable of illuminating previously inscrutable cellular signaling networks.
UCSF researchers have discovered a way to switch off the widely used CRISPR-Cas9 gene-editing system using newly identified anti-CRISPR proteins that are produced by bacterial viruses.
UCSF’s Center for Digital Health Innovation and GE Healthcare today announced a partnership to develop a library of deep learning algorithms.
UCSF is helping to launch a landmark effort by the NIH to engage 1 million U.S. participants in research aimed at preventing and treating disease based on individual differences in lifestyle, environment and genetics.
Watch the highlights from some of UCSF's foremost scientists who participated in the Dreamforce conference this year.
Some of UCSF's foremost scientists will participate in the 2016 Dreamforce conference in San Francisco.