So immensely glad this is finally out! Thanks to everyone involved and to all our fantastic collaborators - it was a real pleasure 😎 Matthias Heinig Katharina Schmid @ICBmunich Nature Genetics - Check it out to learn more about functional and phenotypic relevance of meQTL

Really excited to see our new preprint '#Gal1repression memory in budding yeast' out on #bioRxiv! 🧠💭🧫🔬🖥️ Thanks to Igor Kukhtevich, Poonam Bheda, Melanie Schulz, Maria Bordukova, Robert Schneider, and carsten marr for this great collab! biorxiv.org/content/10.110… A quick🧵.

Why not invite authors to join a virtual paper discussion? Last year, Tingying Peng’s group and mine developed a new journal club format: Read & Meet (the Author). THX Gabriele Campanella Michał Januszewski Maria Vittoria Barbarossa Paris Perdikaris Peter Horvath Navid Alemi et al. for joining! 1/2

Looking forward to amazing talks and interesting scientific conversations! #RECOMB2022

Great and important talk of Jacob Schreiber about machine learning pitfalls and that we should always aim to explain why our ML models perform as they do (especially when they perform well) #Recomb2022

PhD ✔️🎓🎉🥂 A huge THANK YOU to carsten marr and Robert Schneider for having been the best supervisors possible - I had an incredibly fun and exciting time and I learned so much! 🤩💻🧫🔬🧬 #supervisorgoals Helmholtz Munich | @HelmholtzMunich Computational Health Center @TUM_Mathematics

We are very much looking forward to today's #TownHall Meeting focusing on the research of postdocs Helmholtz Munich | @HelmholtzMunich!🤩 Make sure you don't miss the great talks by Dr. Aicha Jeridi, Felix Sigmund, Jiashuo Zheng Pauline Morigny, Tsunetoshi Nakatani & Valerio Lupperger feat. Where's Waldo?!

Looking forward to present my recent work!

I got the opportunity to showcase how we are using AI (transformers) to support and speed up the work of pathologists during the last #TownHall meeting. Thank you! Helmholtz Munich | @HelmholtzMunich Helmholtz Munich PhD & Postdoc | Career Center Matthias Tschöp

Our paper „Altered expression response upon repeated gene repression in single yeast cells“ is now out PLOS Comp Biol 📄🎉 Huge thanks to Igor Kukhtevich, Poonam Bheda, Melanie Schulz, Maria Bordukova, Robert Schneider, and carsten marr! Take a look here 👀 journals.plos.org/ploscompbiol/a…

Our work on 'Network reconstruction for trans acting genetic loci using multi‑omics data and prior information' is finally out! Huge thanks to everyone involved! doi.org/10.1186/s13073… #networkinference #multiomics Springer Nature Genome Medicine Matthias Heinig

Congratulations! 🎉

#AI is revolutionizing #healthresearch! 📽️👀Watch carsten marr talk about how we use AI at #HelmholtzMunich. ❓How do you feel about AI❓ 👉In the next weeks, we want to present you our AI #research, so #staytuned! Helmholtz AI Helmholtz #bigdata #MachineLearning

🧑‍💻#AI revolutionizes diagnosis of leukemia! 🔬With "artificial eagle eyes" #artificialIntelligence detects subtypes of #leukemia cells in #blood samples from patients. 👉Read & watch how carsten marr & team train algorithms for #health research: 🔗t1p.de/k5dgx #KI

Happy to see our collaborative project between Helmholtz Munich | @HelmholtzMunich and Universität München now published at Nature Biotechnology! Thanks to everyone involved, in particular Adrian Gottschlich, Ruth Grünmeier, Sebastian Kobold and carsten marr!

Our paper on multiple instance learning for identifying leukemia subtypes is out in #PLOSDigitalHealth: Explainable AI identifies diagnostic cells of genetic AML subtypes dx.plos.org/10.1371/journa…

Yesterday, Prof Torsten Haferlach spoke about the far-reaching impact of #AI on the future practice of oncology and gave an overview of routine AI-based applications in haematology already in use at MLL and other labs. Now medicine just needs to go digital #ASH23

I am thrilled to announce HistoGPT, a vision language foundation model that generates highly accurate pathology reports from gigapixel whole slide images. medRxiv: medrxiv.org/content/10.110… GitHub: github.com/marrlab/HistoG… Hugging Face: huggingface.co/marr-peng-lab/…

Manuel Tran 's great work is built on the collaborative efforts of an amazing group of dedicated dermatologists, data analysts and machine learning experts Valerio Lupperger Valentin Koch Tingying Peng ! Fun project, thanks everybody!

1/ 🧵Introducing UNICORN,🦄 the first #AI model for integrating multi-stain #histopathology images for classification, designed to tackle missing data during both training and inference. Great colab between Helmholtz Munich | @HelmholtzMunich & TU München German Heart Centre! the architecture ⬇️