Bradley Malin Archives
Sep. 14, 2017—Vanderbilt’s Bradley Malin, Ph.D., has been appointed to the Technical Anonymization Group, recently established by the European Medicines Agency to advise it regarding best practices for the anonymization of patient information used in research.
Jan. 12, 2017—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.
Dec. 1, 2016—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—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.
Apr. 21, 2016—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.
Jan. 28, 2016—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.
May. 26, 2015—The 2015 Vanderbilt University Medical Center Academic Enterprise Faculty Awards, which were presented during the May 19 Spring Faculty meeting, included awards for Excellence in Teaching and Outstanding Contributions to Research.
Apr. 2, 2015—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.
Apr. 25, 2013—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.
Dec. 6, 2012—A great deal of biomedical and health services research at some point involves record de-identification, whether it’s prior to the sharing of study data or, in the case of large patient databases, prior to the initial extraction of study data.