
Sign up to save your podcasts
Or
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 [email protected].
4.5
859859 ratings
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 [email protected].
296 Listeners
245 Listeners
193 Listeners
787 Listeners
1,893 Listeners
522 Listeners
410 Listeners
254 Listeners
39 Listeners
1,018 Listeners
13 Listeners
40 Listeners
41 Listeners
412 Listeners
676 Listeners
337 Listeners
283 Listeners
612 Listeners
35 Listeners
7 Listeners
11 Listeners
12 Listeners
4 Listeners
4 Listeners
23 Listeners
25 Listeners
7 Listeners
187 Listeners
6 Listeners
169 Listeners
16 Listeners
29 Listeners
35 Listeners
5 Listeners