Bradley Malin Archive — Page 3 of 4
-
January 12, 2017
Investigators apply game theory to study of genomic privacy
It comes down to privacy — biomedical research can’t proceed without human genomic data sharing, and genomic data sharing can’t proceed without some reasonable level of assurance that de-identified data from patients and other research participants will stay de-identified after they’re released for research. -
December 1, 2016
Vanderbilt team a winner in health data privacy competition
A two-member team from Vanderbilt has won the 2016 iDASH Healthcare Privacy Protection Challenge, a competition open to international participants and devoted this year to privacy protection for genome analysis in a cloud computing environment. -
May 19, 2016
New center to study genomic privacy concerns
Researchers at Vanderbilt University School of Medicine have received a four-year, $4 million grant from the National Institutes of Health (NIH) to establish a new center for the study of privacy concerns associated with the use of genomic information, the NIH announced this week. -
April 21, 2016
New doctoral track focuses on ‘big’ biomedical data science
A new biomedical data science doctoral track at Vanderbilt, designed as an amalgam of biomedical informatics, biostatistics and computer science, is enrolling its first students for admission in the fall. -
January 28, 2016
VUMC research shows patient privacy, ‘big data’ can coexist
A new study, led by investigators at Vanderbilt University Medical Center (VUMC), confirms that the scientific pursuit of so-called big data from hospitals and clinics needn’t conflict with patient privacy. -
April 2, 2015
Game theory reveals new ways to protect de-identified data
A new study from Vanderbilt introduces an adroit and flexible strategy to quash attacks on patient privacy and aid the flow of vital research data. -
April 25, 2013
New computer speeds clinical data collection
Tucked in a data center in the basement of Vanderbilt University Hospital, a new computer the size of a large armoire, called a data warehouse appliance, is delivering a new order of speed to Vanderbilt clinical scientists as they search, filter, analyze and annotate the de-identified medical records of approximately 2 million patients.