Hi everyone,
Don't know where to put this specific question. I'm working on a reference data mesh implementation to connect and combine datasets to find matching trials for patients with a specific genetic profile. 
- Do you know anyone that might be interested in this project? If yes, please show the post and send them to me. 
- I'm still figuring out a lot of things. I want to use GenAI to extract eligibility criteria from structured trial text. Has anyone done this before? If so, what approach did you use: use the ai_queries, API calls to foundation models or download a bespoke model?
- From a governance perspective, how would you store and share a bespoke LLM model? Do you share via MLflow and serving like your own models or is there a way to extend Foundation API's with models of your own organisation for discovery?

https://www.linkedin.com/posts/steff-horemans-34884497_raredisease-dataengineering-precisionmedicine...