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ID: 893875627916378112
https://vasa.bio/ 05-08-2017 16:45:31
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Today, we're launching the Arc Virtual Cell Atlas, a growing resource for computation-ready single-cell measurements. As the initial contributions, Vevo Therapeutics has open sourced Tahoe-100M, the world's largest single-cell dataset, mapping 60,000 drug-cell interactions, and we’re





What if AI could advance cell biology the way it did for protein folding? 🧬 In this video podcast, Head of Science Stephen Quake & EPFL’s Charlotte Bunne join Eric Topol to discuss the virtual cell, a moonshot for digital biology. Watch: bit.ly/3FMXxq6






This is an amazing paper from the groups of Anshul Kundaje (anshulkundaje@bluesky) & Scott Boyd and an example of how AI can be used well in biology. Basically, they are able to predict disease status (e.g. lupus, Covid, HIV, influenza) from BCRseq and TCRseq. I think this has great implications.



NewLimit paper just dropped ICML Conference showing our SOTA AI models can predict perturbed cell states. Helps to have the largest primary cell perturbation dataset in the world. Bonus points for one of the first demonstration of active learning in bio.
