Join a panel of OM1’s clinical experts in cardiometabolic disease, immunology, and mental health as they explore how Artificial Intelligence (AI) can find phenotypic patterns and unlock insights hidden in real-world data.
Extracting as much information as possible from real-world datasets is essential for understanding the complete patient journey. Subtle patterns in structured and unstructured data can provide insight into disease diagnosis, progression, treatment efficacy, and overall outcomes for subcohorts and individuals. Through digital phenotyping, AI can isolate these patterns to help us better address challenges in underdiagnosis or misdiagnosis, risk and safety, gaps in care, and opportunities for new treatment.
This webinar will dive into how PhenOMTM, OM1’s AI-powered digital phenotyping platform, and real-world data can enrich and inform:
- Subtype phenotyping
- Enhanced diagnostic screening
- Risk and treatment differences
- Clinical trial enrollment