The Duke University School of Medicine has informally assembled an interdisciplinary team of health providers and researchers to provide guidance to local homeless shelters about COVID testing.
CAGPM further developed their educational opportunities with two new programs: a one-year training fellowship for genetic counselors and online educational modules for health care professionals.
T32 fellow Olivia Dong was selected to participate in a panel of precision health future leaders at the RTP/Precision Medicine Leaders Summit.
A team of CAGPM scientists developed a test that identifies respiratory viral infections before symptoms appear.
Lori Orlando received new funding to advance MeTree family health history project.
CAGPMers are working with a team at NASA to explore gene-environment interactions in astronauts.
Geoffrey Ginsburg has received a sub-award (NNJ15HK11B) through KBRwyle for a project entitled "One-Carbon Metabolism Genetics Data Analyses."
Ryan Shaw and Ph.D. student Anna Diane received an award for Diane's NIH/NINR NRSA Fellowship proposal "Engaging Black Men in Digital Health to Improve Self-Management of Type 2 Diabetes: An Iterative Participatory Design Approach."
The Enabling Precision Health and Medicine Bass Connections team, led by Susanne Haga, has been renewed for the 2020-2021 school year.
Lori Orlando, along with a team at Vanderbilt, was awarded a NIH Moonshot grant focused on boosting hereditary cancer identification. The team will use MeTree to collect and analyze family health history.
Geoff Ginsburg and team analyzed the similar policy approaches countries are taking to implement genomics into routine clinical care.
CAGPM faculty and staff showed that the transcriptome in peripheral blood reveals unique aspects of the immune response in COVID-19 and provides for novel biomarker-based approaches to diagnosis.
CAGPMers monitored Duke students and close contacts who developed respiratory tract infection symptoms, demonstrating transcriptomal biomarkers' ability to accurately predict and diagnose infection.
Ricardo Henao and team investigated natural language processing methods to identify patients with peripheral artery disease, offering a more effective alternative to the structured data-based approach.
Susanne Haga and Lori Orlando provide an overview of various risk assessment approaches and their benefits, limitations and implementation challenges.
Chris Woods and team observed age-related variability in SARS-CoV-2 symptoms between children and adolescents, as well as Hispanic ethnicity and history of asthma playing a role in infection risk.
The laboratory brings together expertise in molecular microbiology with genome sciences to develop next-generation diagnostic tests.
We support biobanking activities including IRB, sample collection, processing, storage, bar-coded chain of custody and e-inventory management.