gxr's profile picture. I love large biomedical data. 
@gxxxr.bsky.social

Gunnar Rätsch

@gxr

I love large biomedical data. @gxxxr.bsky.social

Gunnar Rätsch 님이 재게시함

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…).


Gunnar Rätsch 님이 재게시함

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…👉

maxplanckpress's tweet image. 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!

Top Performers: 🏆 @nonchevk – 1st Crunch 1, 2nd Crunch 2 (@ETH_en) 🏆 Manfred Seiwald – 2nd Crunch 1 (University of Salzburg) 🏆 Team PathBio – 3rd Crunch 1 – Sen Yang (@Stanford), Jinxi Xiang (Stanford), Wei Yuan (@SCUCN), Yijiang Chen (Stanford), Xiyue Wang (Stanford)



Gunnar Rätsch 님이 재게시함

📣 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.

SOPHiAGENETICS's tweet image. 📣 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…


Gunnar Rätsch 님이 재게시함

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)



Gunnar Rätsch 님이 재게시함

🔬 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)


Gunnar Rätsch 님이 재게시함

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…

RnaudBertrand's tweet image. 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…

Gunnar Rätsch 님이 재게시함

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).


Gunnar Rätsch 님이 재게시함

🥳🔥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


Gunnar Rätsch 님이 재게시함

Congratulations to @nonchevk from @ETH @CSatETH, the winner of the Autoimmune Disease Machine Learning Challenge #1

crunchDAO's tweet image. 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 👇

crunchDAO's tweet image. 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 👇


Gunnar Rätsch 님이 재게시함

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! 👇

CHILconference's tweet image. 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! 👇

Gunnar Rätsch 님이 재게시함

🎉 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.

ETH_AI_Center's tweet image. 🎉 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.
ETH_AI_Center's tweet image. 🎉 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,…


Gunnar Rätsch 님이 재게시함

Can't make it to the oral session? Checkout our preprint: arxiv.org/abs/2411.16346


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