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abhishaike commented on Endometriosis is an interesting disease   owlposting.com/p/endometr... · Posted by u/crescit_eundo
anon291 · 3 months ago
Just wait til you find out men can get it (extremely rare)
abhishaike · 3 months ago
This is in the article!
abhishaike commented on A Primer on Molecular Dynamics   owlposting.com/p/a-primer... · Posted by u/EvgeniyZh
forgotpwagain · 3 months ago
Very cool. There are also methods that allow you to extract some notion of motion from variability in CryoEM data, e.g. CryoDRGN-ET [1].

I'm curious if you've worked with any of those models and how they relate to NMR data and MD simulations.

[1] https://www.nature.com/articles/s41592-024-02340-4

abhishaike · 3 months ago
+1 to this!

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...

abhishaike commented on A Primer on Molecular Dynamics   owlposting.com/p/a-primer... · Posted by u/EvgeniyZh
siver_john · 3 months ago
Amazing article on Molecular dynamics, in the infinite number of things they could add is a small segment on coarse graining. Though I'm biased (and have been thinking about writing one myself).

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).

abhishaike · 3 months ago
Author here, I wish I added a section on coarse graining as well :) hope you write a post about it!
abhishaike commented on Administering immunotherapy in the morning seems to matter. Why?   owlposting.com/p/the-time... · Posted by u/abhishaike
zevets · 3 months ago
This is bad science. Patients schedule when they go to immunotherapy appointments. People who go in the morning are still working/doing things, where once you get _really_ sick, you end up scheduling mid-day, because its such a hassle to do anything at all.
abhishaike · 3 months ago
Writer of the article here: randomization fixes most of this, but the other commenters are correct in that doesnt fully account for the clinic performance (e.g. nurse performance, which does dip during the night according to the literature). I previously thought it wasn't a major issue for clinical trials, since a separate team independent from the main ward are giving the drugs, but there isn't super strong evidence to support that. I will update the article to admit this!

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

abhishaike commented on The A.I. Radiologist Will Not Be with You Soon   nytimes.com/2025/05/14/te... · Posted by u/voxadam
epistasis · 4 months ago
For a more technical dive into startups that have been chugging along with AI in pathology for ~decade, check out this:

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

abhishaike · 4 months ago
<3

u/abhishaike

KarmaCake day355April 6, 2024
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