Gunnar Rätsch
@gxr
I love large biomedical data. @gxxxr.bsky.social
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After years of research and continuous refinement, we’re thrilled to share that our paper on the MetaGraph framework — enabling Petabase-scale search across sequencing data — has been published today in Nature (nature.com/articles/s4158…).
Early-career scientists: here’s your chance to lead independent research!🌟Max Planck Research Groups offer 6+ years, up to €2.7M in funding, open-topic freedom, team support & tenure-track opportunities. Intrigued? 😃Apply by Oct 14, 2025! mpg.de/career/max-pla…👉
Thanks for organizing! Such challenges are very important to have in order to distill whats "good sales" and whats good "performance". However, most performance measures have limitations & the real test is to use the method for scientific discovery or translational applications.
Our Autoimmune Disease ML Challenge drew in ~1,000 participants from 62 countries to solve the problem of predicting gene expression from pathology images. We’re thrilled to present the top performers of Crunches 1 and 2 – learn more: ericandwendyschmidtcenter.org/updates/machin… @broadinstitute
Congrats Kalin @nonchevk! Great work!
📣 SOPHiA GENETICS has joined #NAIPO – Switzerland’s national #AI initiative for precision oncology, selected by @Innosuisse. Together with @EPFL, @ETH & leading hospitals, we’re building a secure infrastructure to make cancer care more effective & equitable for every patient.
I'm looking forward to help shape and participate in this InnoSuisse AI Oncology initiative under the leadership of the EPFL AI Center and ETH AI Center. We aim to bring AI methodology closer to the clinical practice. @ETH_AI_Center @EPFL_AI_Center linkedin.com/posts/epfl-ai-…
This manuscript on the reproducibility of splicing neoepitope prediction took us a while. We find that subtle choices in how one exactly generates and filters neoepitope candidates, creates major differences in the number and identity of the neoepitopes. biorxiv.org/content/10.110…
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
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