Gunnar Rätsch
@gxr
I love large biomedical data. @gxxxr.bsky.social
Just presented our new multimodal histopathology method "SpotWhisperer" at ICML, one of the largest AI conference. SpotWhisperer enables spatially resolved annotation of histopathology images using natural language by "transferring" annotations from transcriptomic data.
🔬 Toward histopathology 2.0: spatial transcriptomes inferred from routine diagnostic H&E images + a chat interface for cell-resolution histopathology through English language. (1/6)
🔬 Toward histopathology 2.0: spatial transcriptomes inferred from routine diagnostic H&E images + a chat interface for cell-resolution histopathology through English language. (1/6)
I just read this WSJ article on why Europe's tech scene is so much smaller than the US's and China's. I'm afraid that, like most articles on this topic, it largely misses the mark. Which in itself illustrates a key reason why Europe is lagging behind: when you fail to…
RL for real-world applications = offline learning + reward learning. How do we make this work? Find out more at ICLR poster #377 at 10am today! @gio_ramponi and I will be presenting our latest work on offline preference-based RL (joint w/ @gxr, @bschoelkopf).
🥳🔥Our study is out in @GenomeBiology! Conventional filtering out high-mtRNA cells depletes key malignant populations in cancer single-cell studies. Read it here 👉 genomebiology.biomedcentral.com/articles/10.11… Thanks to the dream team: @JoYatesResearch @KraftAgnieszka
Congratulations to @nonchevk from @ETH @CSatETH, the winner of the Autoimmune Disease Machine Learning Challenge #1
The first @Schmidt_Center Crunch has officially wrapped, and Crunchers have made tangible progress for IBD patients through real-world, data-driven impact. Here’s a quick recap of the Eric and Wendy Schmidt Center at Broad Institute’s autoimmune disease challenge 👇
For #CHIL2025, we're gathering top literature from 2024 in AI & healthcare. "Top" can mean an exciting topic, a method you found extremely useful, or a game-changing dataset. Drop your recommendations (and why you chose them) in the coments below! 👇
🎉 Yesterday, @AlizeePace, our very first PhD Fellow of the @ETH_AI_Center, graduated! She was supervised by ETH AI Center Faculty members Prof. Gunnar Rätsch @gxr and Prof. @bschoelkopf. Congrats, Dr. Pace! Next, she will join @GoogleDeepMind in Zurich as a Research Scientist.
Where RNA Science Meets AI, May 4–8, 2025, Ascona. Invited speakers: @OliverStegle @fabian_theis @fiddle @EvaMariaNovoa @BTreutlein @satijalab @RivasElenaRivas @RouskinLab @YosephBarash @gagneurlab, Rhiju Das, Karla Neugebauer, Jernej Ule Registration open,…
Can't make it to the oral session? Checkout our preprint: arxiv.org/abs/2411.16346
We curated the biggest critical care multi-variate time-series dataset ever! Wondering how it might fuel the first generation of foundation models in this domain? Join us at the oral presentation session of the AIM-FM NeurIPS Workshop tomorrow 2:30 - 3:30 PM Vancouver time.
We would like to once again thank @ThomasFuchsAI for his dedication and leadership as Dean of AI and Human Health, which led to innovative research initiatives and the development and implementation of cutting-edge tech. We wish him the best of luck in his new position.
📣Ph.D. Fellowship opportunities at the @ETH_en @MPI_IS Center for Learning Systems (CLS) joint doctoral program! Deadline November 5 2024 learning-systems.org/apply
Dear future PhD students, consider applying to the Center for Learning Systems, a joint initiative of ETH Zurich and Max Planck Intelligent Systems. Some of my very best students graduated through this program.
Become a Center For Learning Systems doctoral researcher! The application portal is now open until Nov 5th: learning-systems.org/news/apply-now… It's a fully-funded doctoral fellowship program with co-supervision by one advisor from ETH Zürich ... (1/2)
Congrats David Baker, @demishassabis, and John Jumper 👏👏👏 We knew this was coming. The impact of Rosetta, AlphaFold, and other ML-powered efforts in protein structure prediction and protein design is already tremendous and promises to have an even bigger impact in the future.
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”
📣We have a tenure-track faculty opening in Responsible AI at @CSatETH: ethz.ch/en/the-eth-zur… @ETH_en is a vibrant environment for AI research with the @ETH_AI_Center etc. Please help spread the word!
Prof. Wang tells how everything startet for her - with #Pascal! A #language that conquered the world, developed here at @ETH_en by #NiklausWirth.