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’m sure it was positive, whatever it said.

I will investigate these other locations!

If you want to actually talk with people about some of your thoughts on the industry, I'd recommend just going to a hotel bar, grab a pint, and just spark a conversation.

Apologies, I do kinda auto-repost my articles here without thinking whether they are paywalled (nearly everything I’ve written isn’t)

here is an unpaywalled link that anyone can access: https://www.owlposting.com/p/8157b515-56ce-40a4-a7f0-da6d46f...

edit: please subscribe if you enjoyed this! lots of really crazy articles + podcasts in this subfield are planned for the upcoming month :) all free!

Thanks, it was kind of frustrating especially as my first contact with a blog.

I don't disagree!

Thanks for posting this here! Sent this HN link to the founders, so they may be able to answer any Q's that people have

Happy to answer Qs. AMA