in clinical research there are so many observational studies that could be published if clinicians could structure all of their unstructured data.
The retrieval-augmented generation (RAG) of LLMs finally allows for easy means of querying big sets of clinical text and results.
That’s super interesting! @coachemma is looking at bringing clinical research to Nostr nostr:nprofile1qqs06hur0durup4gswajdrter25f5zhd7vpf9xnu34k8znh877mzngspz4mhxue69uhkummnw3ezummcw3ezuer9wchsz9thwden5te0wfjkccte9ehx7um5wghxyee06jj07u. We’ve also been working with medical AI quite a bit if you want to have a chat nostr:nprofile1qqsqgss0jrptuk4u36xy28yxz9v74vsucq06ur0zcyh3crtqn0dphngpzemhxue69uhhyetvv9ujumn0wd68ytnzv9hxgqg4waehxw309ahx7um5wfjkc6t5v4ejummjvuaqfnsz
💪🏾🔥 🚀
Thanks Jon! Yes, we would like to understand how clinicians can use MedSchlr for publishing purposes. We just launched the landing page (optimized for desktop only right now). Would love feedback on functionality/features etc. Clinical databases and integration of AI for evidence synthesis are things we’d like to explore.
