tmoeckli

@tmoeckli.bsky.social

#Heidelberg based PhD student working with #protein mass spectrometry to power mathematical models related to #interferon signaling Klingmüller lab - https://www.dkfz.de/en/systems-biology-of-signal-transduction

I firmly believe that well-documented datasets must be re-analysed! Too many projects needlessly generate more data just to chase arbitrary benchmarks — an extra 2% accuracy or a few more identified proteins. We can be so much smarter! 🧵

UofT-TCAIREM@uoft-tcairem.bsky.social · 2mo ago

Why #biology must prioritize #data reanalysis in the era of #artificialintelligence | @plosbiology.org journals.plos.org/plosbiology/... #AIhealth #AI #HealthAI #MedTech

The Thermo Fisher situation keeps getting worse. We've now collected 450+ problematic images presented as verification data in TF's antibody catalog. This includes: 🖌️ Dozens more images with duplications or painting 🖨️ Hundreds of blots that all share the same background (behold slideshow below)

Surprised to discover that Thermo Fisher appears to show a fake western blot for the validation of one of their p53 antibodies. I've added a diagram to show the very similar bands. This does not appear to be one of the "published figures" but their own internal data.

Bild

Downside of LLM culture that I have not seen mentioned anywhere before: The best way to understand something is to explain it to someone else, and people don't ask people to explain things anymore

Poorly performing antibodies have plagued biomedical sciences for decades. This article explores alternatives, hoping for specific protein binders: The antibodies don’t work! The race to rid labs of molecules that ruin experiments www.nature.com/articles/d41...

The antibodies don’t work! The race to rid labs of molecules that ruin experiments

Poorly performing antibodies have plagued biomedical sciences for decades. Several fresh initiatives hope to change this.

nature.com