tHEORetically speaking: How AI-Powered Phenotyping Enhances the Patient Journey for Life Science Applications

In this episode of tHEORetically speaking, Dr. Joseph Zabinksi, VP and Head of Commercial Strategy and AI at OM1, explains how AI-powered digital phenotyping can enhance our understanding of patients' experiences and inform access, treatment, and condition management.

Real-world data provides an opportunity to understand what happens to patients, but there are limitations to the insights we can generate using traditional analysis techniques alone. At OM1, our PhenOM technology uses AI to isolate subtle signals in real-world data associated with outcomes we care about - diagnoses, treatment response, and future risks. The insights we derive integrate into our existing patient journeys to answer questions we couldn't without this technology, including who remains undiagnosed or misdiagnosed, and how patient subcohorts take different trajectories within the same broader condition.

To learn more, click here.