abhishaike

LLMs probably wont change how likely that is :)

Thank you for the kind words :)

Very fair! We're working on a preprint right now

Somewhat, 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)