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Manage episode 464237296 series 3624132
Introducing Predicting Diseases with Polygenic Risk Scores | Season 2 Episode 2 from Tomorrow's Cure.
Follow the show: Tomorrow's Cure
Imagine knowing your risk for disease long before symptoms appear. With early detection and targeted interventions, this knowledge could transform how complex healthcare challenges are addressed. Researchers are now leveraging genetic data to enhance disease risk prediction through an innovative tool known as a polygenic risk score. The episode features Victor Ortega, M.D., Ph.D., associate director of the Mayo Clinic Center for Individualized Medicine and Louise Wain, Ph.D., professor of respiratory research, University of Leicester.
DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to team@podroll.fm.
803 episodes
Manage episode 464237296 series 3624132
Introducing Predicting Diseases with Polygenic Risk Scores | Season 2 Episode 2 from Tomorrow's Cure.
Follow the show: Tomorrow's Cure
Imagine knowing your risk for disease long before symptoms appear. With early detection and targeted interventions, this knowledge could transform how complex healthcare challenges are addressed. Researchers are now leveraging genetic data to enhance disease risk prediction through an innovative tool known as a polygenic risk score. The episode features Victor Ortega, M.D., Ph.D., associate director of the Mayo Clinic Center for Individualized Medicine and Louise Wain, Ph.D., professor of respiratory research, University of Leicester.
DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to team@podroll.fm.
803 episodes
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