I'm curious if you've worked with any of those models and how they relate to NMR data and MD simulations.
I've also written a potentially helpful coverage piece on extracting conformations from cryo-EM data: https://www.owlposting.com/p/a-primer-on-ml-in-cryo-electron...
Granted wished this had been around when I started my journey instead of having to delve into things like the Amber manual... (which I will grant is wonderful for its information but the organization isn't as convenient).
This said, I am inclined to believe that this isn't a major concern for chronotherapy studies, since I haven't yet seen it being raised in any paper yet as a concern and the results seem far too strong to blame entirely on 'night nurses make more mistakes'. Fully possible that that is the case! I just am on the other side of it
https://www.owlposting.com/p/what-happened-to-pathology-ai-c...
> One pathology AI founder told me that it wasn’t hospitals or diagnostic labs that showed the most promise. It was R&D groups within Big Pharma. Those scientists and executives wanted new tooling. They were often sitting on massive internal datasets, had real budget allocated to experimental tech, and — critically — had a clear ROI if your model helped shave months off a study or more precisely target the right patient cohort. Most importantly, pharma didn’t care as much about the regulatory headaches, as they weren’t using your model to diagnose patients