The NIH-funded network will implement and scale population-based genomic screening for common, actionable conditions in 25,000 adults in primary care settings across the U.S. Researchers at Ariadne Labs, a joint center for health systems innovation at Brigham and Women’s Hospital and the Harvard T.H. Chan School of Public Health, and partner institutions have received a… Continue reading Ariadne Labs and Collaborators Receive NIH Funding to Launch Major National Study Advancing Population Genomic Screening in Primary Care
Ariadne Labs is pleased to announce the appointment of Jason Vassy, MD, MPH, MS, as Director of Precision Population Health, ushering in the next chapter of the program’s work to advance the responsible and equitable integration of genomic medicine into health care. Dr. Vassy is a clinician-investigator at the VA Boston Healthcare System and Brigham… Continue reading Ariadne Labs Announces Jason Vassy as Director of Precision Population Health Program
Six states and one U.S. territory selected to assess feasibility of integrating whole genome sequencing into public health newborn screening Boston, MA Investigators leading BEACONS (Building Evidence and Collaboration for GenOmics in Nationwide Newborn Screening) today announced two major milestones in an NIH-funded research effort to evaluate genomic newborn screening: the selection of participating state… Continue reading BEACONS Selects Seven Sites, Finalizes Gene List for Genomic Newborn Screening Study
Announcing the launch of BEACONS (Building Evidence and Collaboration for GenOmics in Nationwide Newborn Screening), the nation’s first multi-state genomic newborn screening initiative.
Dr. Robert Green takes the Ted Talks main stage to talk the future of medicine and genetic sequencing.
MGB coverage on the International Consortium of Newborn Sequencing (ICoNS) publishing of their findings and tool in Genetics in Medicine. They identified key factors influencing gene inclusion in newborn genomic screening programs and the team developed a machine learning model incorporating 13 predictors, achieving high accuracy in predicting gene selection across programs.
The International Consortium of Newborn Sequencing (ICoNS) published their findings and tool in Genetics in Medicine. They identified key factors influencing gene inclusion in newborn genomic screening programs and the team developed a machine learning model incorporating 13 predictors, achieving high accuracy in predicting gene selection across programs.
Rose Heald is a Senior Research Assistant for the Genomes2People (G2P) Research Program at Brigham and Women’s Hospital, Harvard Medical School and the Broad Institute. She has been involved in several research projects and initiatives focused on clinical implementation of genomics including the Precision Population Health Initiative (PPH), the BabySeq Project, and the International Consortium… Continue reading Rose Heald
Hadley Stevens Smith, PhD, MPSA is an Assistant Professor in the Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Health Care Institute. She received her PhD from the University of Texas Health Science Center at Houston and completed a postdoctoral fellowship in the Center for Medical Ethics and Health Policy at Baylor… Continue reading Hadley Stevens Smith