But this specifically is an AI model (like a LLM) not trained on text, but on specific medical data: "18,963-plex spatial transcriptomics" [0].

Which is a really interesting approach!

[0] https://www.noetik.blog/p/tario-2-a-whole-transcriptome-foun...

This sounds good but the hard thing for these sweeping experiments is making a discrete, new finding or saying something interesting about an old problem. I’ll be curious to see how they approach that goal at the level of a statement that can withstand peer review