Hunting for new antibiotics with deep learning at @pasteur.fr 🧫 | Previously @crick.ac.uk and 🎓 @imperialcollegeldn.bsky.social
Our preprint outlining a deep learning-based phenotypic screening approach for the discovery of new TB drugs is out on bioRxiv now 💊🦠 🔗 doi.org/10.64898/202... Thank you @awehenkel.bsky.social @chzimmer.bsky.social @spetrella.bsky.social @curieuseny.bsky.social and everyone else not on bsky (yet)🙏
If you're interested in developing an open-source image analysis platform/plugin to profile bacteria with deep learning while living in the beautiful city of Paris 🇫🇷, check out this job ad from the @chzimmer.bsky.social lab @pasteur.fr research.pasteur.fr/fr/job/open-...
Open-Source Developer for Deep Learning Antibiotic Discovery Platform - ResearchIntroduction Antimicrobial resistance (AMR) is one of the most urgent global health threats projected to cause up to 10 million deaths per year by 2050. The AI4AMR project brings together teams from I...research.pasteur.frSuper happy to see CLEM-Reg out in @natmethods.nature.com! A short thread on the algorithm behind it and how to try it out for yourself🧵(1/9) www.nature.com/articles/s41...
CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy - Nature MethodsCLEM-Reg automates the three-dimensional alignment of volume correlative light and electron microscopy datasets by leveraging probabilistic point cloud registration techniques for fast and accurate re...www.nature.com