Topic List : Big Data
Scientists develop comparative search engine that helps to predict human gene function
Researchers have developed and disseminated a search engine that helps identify human gene function by comparing human genes to genes from nonhuman species.
Stanford researchers use big data to identify patients at risk of high-cholesterol disorder
Researchers use 'machine learning' to search electronic medical records for patients with familial hypercholesterolemia, an inherited disease that causes high cholesterol.
‘Big data’ approach helps pinpoint possible new stent drug to prevent heart attacks
Replacing the current drug used to coat artery-opening stents with a drug more targeted to the actual cause of stent disease could reduce blood clots and heart attacks, researchers say.
Researchers get more than $23 million to launch centers for big-data research
Two new Stanford-based centers aim to help scientists effectively manage and use large, complex data sets.
Nation's first accredited clinical informatics fellowship launched
A newly accredited clinical informatics program physicians to be certified in the subspeciality, which became board-eligible in 2011.
Stanford's big data conference: How 1s and 0s are advancing medicine
Massive, ongoing advances in computational processing power and interconnectedness are already changing the way medical research is done.
Big Data in Biomedicine conference set for May 21-23
Todd Park, chief technology officer of the United States, will be among the featured speakers at the Big Data in Biomedicine conference May 21-23 at the Stanford University School of Medicine.
Computerized checklist reduces type of hospital infection, study finds
A computerized safety checklist that automatically pulls information from patients' electronic medical records was associated with a threefold drop in rates of one serious type of hospital-acquired infection, according to a study by researchers at the Stanford University School of Medicine and Lucile Packard Children's Hospital Stanford.
Researchers develop data-driven methods for analyzing off-label drug use
Physicians often prescribe drugs for unapproved indications, but current methods of tracking these off-label uses are limited in scope.
Li Ka Shing Foundation gives $3 million to Stanford for 'big data' initiative
The Li Ka Shing Foundation has provided a $3 million planning grant to the Stanford University School of Medicine for a new initiative to explore ways of harnessing the vast repositories of biomedical data to improve human health and lower health-care costs.