Cofactor Genomics - Leveraging RNA and Machine Learning to Bridge the Precision Medicine Gap

July 16, 2020

Cofactor Genomics is using machine learning and RNA sequencing to build multidimensional biomarkers that can accurately stratify patients as responders or non-responders to different therapies. Bridging this gap in immune-oncology alone would save US healthcare billions in annual costs and deliver on this promise of more precise healthcare for patients.

 

Presented by Natalie LaFranzo, VP Market Development / Cofactor Genomics

Previous Video
AWS / Pariveda - Accelerating Insights from Unstructured Data, Cloud Capabilities to Support Healthcare
AWS / Pariveda - Accelerating Insights from Unstructured Data, Cloud Capabilities to Support Healthcare

Presented by Arun Ravi, Sr. Product Manager, Amazon Comprehend Medical / AWS and Amit Shah, Principal / Par...

Next Video
GE Healthcare - Analytics and Al Strategy & Futures
GE Healthcare - Analytics and Al Strategy & Futures

Presented by Lino Ramirez, Sr. Product Manager, AI Services / GE Healthcare

Interested in learning more?

Contact Sales