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If I understand this: the issue is that mouse physiology doesn't really represent human physiology, so they have a mapping from one to the other used to predict
by vintagedave 5mo ago
If I understand this: the issue is that mouse physiology doesn't really represent human physiology, so they have a mapping from one to the other used to predict what happens in mouse experiments to know what the effect would be on humans?
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-foundation https://www.noetik.blog/p/tario-2-a-whole-transcriptome-foun...
- abhishaike 5mo agoSomewhat, we are assuming that a model trained on human data entirely is able to 'project' mouse data into a human transcriptomic space. It feels like something that should obviously fail (isn't it out of distribution?), but it works surprisingly well according to the perturbation controls we had! Morphology of tissue may simply be a rather universal substrate. And yes, it is trained on 18,963-plex spatial transcriptomics :) (I work at Noetik and wrote this article)