Making Medicine Computable with Multimodal Foundation Models
The healthcare and life sciences industry is at an inflection point. Organizations are sitting on a wealth of longitudinal patient, member, and claims data that can inform business strategy and improve how they deliver patient care. Concurrently, the explosion of AI is changing how organizations work with large, complex data volumes and shortening time-to-insight. However, key challenges remain. Most AI workflows still rely on brittle, one-off pipelines that are hard to govern, scale, or reuse, limiting the value organizations derive from their data and AI investments.
Learn how multimodal foundation models can turn unstructured clinical histories, notes, labs, images, claims, and payer coding into reusable patient and member assets for downstream risk prediction, care management, cohort discovery, and outcomes modeling.
We’ll cover:
- Data and AI trends impacting the industry today
- How to access APOLLO, Aevius’s foundation model for longitudinal patient and member data, as a Snowflake Native App for key industry use cases
- A live demonstration of pre-built workflow primitives, including patient/member search, cohort exploration, prediction, and attribution
Speakers
