There was a research from UCSF that I met when we were building that DOgPatch facility in Sf... She had written a program in python to pipette tiny amounts of

There was a research from UCSF that I met when we were building that DOgPatch facility in Sf... She had written a program in python to pipette tiny amounts of proteins via tubular matrices valve thingy she made which allowed her to feed various proteins to stemcells via her little 3D printed tubes and then was researtching what each proteins made the stemcells behave like, what they presentd, her quote was "what do we need to ffed the stemcell to become a heart muscle." Ive alwasy been intriugued by this as I want to experiment with my own stemcells.... specifically in ocular regen. But having AI craft blender snippets has been super simple to get it to draw geometry - so a GPT that can translate between some chemistry constraints to 3D- molocule constraints - plus there are a bunch of 3D chem libraries (there was an interesting one on HN a while back that I commented on a bit..) What would be interesting would be a version of 'meta clay' (balls) -- that had attraction rules that werent meant to merge Nurbe surfaces, but rather it would know the attractions of various proteins/molocules/biochemicals such that it will know which 'covalant bonds' (I am puling that phrase out of my non-chem butt) -- work together.