Ran an experiment with my blood panel: converted it to CSV and sent it to 2 doctors and 3 LLMs.

Not only did the LLMs match the doctor conclusions, they had more details and were easier to digest than the doctors.

We are entering a new era of accessible diagnostics.

But how do we query LLMs with sensitive data like health records without compromising privacy?

Anyone working on solutions? Local inference, encrypted computation, zero-knowledge pipelines anything else??

Now there’s MedGemma!

https://developers.google.com/health-ai-developer-foundations/medgemma

The weights are available on Huggingface and it can be run locally:

Founder of @rotki 🐦, the portfolio tracker that protects your privacy.

#Berlin. University of Tokyo graduate. Marathon runner. #ethereum developer. #birding

Now there’s MedGemma!

https://developers.google.com/health-ai-developer-foundations/medgemma

The weights are available on Huggingface and it can be run locally:
https://huggingface.co/collections/google/medgemma-release-680aade845f90bec6a3f60c4