🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Finally out in Nature Protocols : our group's workflows for end to end computational pathology. Compatible with UNI and other foundation models. Led by Omar S.M. El Nahhas from katherlab journal link: nature.com/articles/s4159… full text: rdcu.be/dT35l

Call for PhD in quantitative Biology!! Applications open ... unil.ch/quantitative-b… #PhD #computationbiology #quantititivebiology

How can we build an Al Virtual Cell 🔮🧬 that simulates all functions and interactions of a cell? How will it transform research and drive breakthroughs in programmable biology, drug discovery and personalized medicine? 🚀 Take a look at our Perspective! arxiv.org/pdf/2409.11654

Come join us for a 1w SIB spatial omics workshop in beautiful Lausanne 🇨🇭 > t.ly/ilpUr < featuring Lars Borm Ahmed Mahfouz Mark R@markrobinsonca@{genomic.social,bsky.social} Yvan Saeys Rasool Saghaleyni @AnnaCSchaar Marco Varrone & more - deadline: Nov 1st.

We are #hiring #PhD students via the #ELLIS PhD Program! Interested to work on (generative) #AI method development to advance personalized medicine? Located at the School of Computer Science and Life Sciences at EPFL🇨🇭and part of the EPFL_AI_Center, we are closely collaborating

🎉Congratulations @MariannKruithof! She is part of the PANC-CKI consortium #AlveoliX, led by #CasInvent, which has won a €4M Eurostars grant for research on a new therapy against pancreatic cancer! #unibern #siteminsel Faculty of Medicine, University of Bern Insel Gruppe

Following several presentations on how we use #spatialbiology to investigate the #immunology of #braincancer - also see our recent review on this topic shorturl.at/7pwV1 Samuel Widodo Marija Dinevska Marianna Rapsomaniki University of Melbourne Doherty Institute

Excellent article in The Atlantic. A democracy can hand absolute power to a dictator, leading to the murder of millions and a world war - all under promises to "revive the economy, reduce unemployment, increase military spending, withdraw from international treaty obligations,

(1/n) Can we disentangle the effects of multiple covariates (e.g., sex, age, disease) to predict multiple counterfactual outcomes at the single-cell level? We introduce CellDISECT, a causal generative model that addresses this by learning to generate synthetic counterfactuals