Clinical Reporting: Mass General

Signals Over Noise: Cleaning Up Cancer Trial Data

Clinical trial reporting is the bedrock of evidence-based oncology, yet it's riddled with inefficiencies, mismatched data, and underreported adverse events. In this episode, Dr. Danielle Bitterman of Mass General Brigham joins unNatural Selection to discuss how her team is using AI to clean up the clinical data pipeline—automating the extraction of outcomes, improving the accuracy of adverse event tracking, and scaling trial infrastructure without compromising safety. We explore how artificial intelligence is not just a tool for speed, but a mechanism for survival in a world where better data leads to better treatments.

Nic Encina

Global Leader in Precision Health & Digital Innovation • Founder of World-Renown Newborn Sequencing Consortium • Harvard School of Public Health Chief Science & Technology Officer • Pioneer in Digital Health Startups & Fortune 500 Innovation Labs

https://www.linkedin.com/in/encina
Previous
Previous

Brain Care: Mass General

Next
Next

Medical Technology: Siemens Healthineers