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)

Thanks for posting this here! And surprising its attracting attention, I have to imagine that the TAM for 2-hour-long biologics-manufacturing podcasts is small :)

If you're more interested in this person's work, his website is here: https://www.iku.bio/

I'm going to be honest: I have absolutely no idea what this comment means

I will investigate these other locations!