Today we release Rhaister, an elegant statistical model that predicts drug phenotypes in new contexts w/ accuracies comparable to experimental assays. And dropping Emerald Bay, a 2M cell dataset measuring long time-course phenotypes across 1000s of drug-cell line interactions.

A holy grail for our lab has been tracking myeloid cells in human tumors in the same way that we track T and B cells with TCR/BCR. @vincentzliu and @CalebLareau solved it! We developed Mitotrek using scATAC-seq mitochondrial DNA to do exactly this. Using Mitotrek, we find that new myeloid cells clones constantly infiltrate the tumor via circulating monocytes — and that their macrophage or dendritic cell fate is epigenetically programmed before tumor entry. @10xGenomics @parkerici @CancerResearch @TheMarkFdn cell.com/cancer-cell/fulltex…

Exciting breakthrough technology from the lab, now live in @CellCellPress ! Instead of cutting the genome where proteins bind (e.g., Cut&Tag), D&D-seq scars the DNA with a deaminase, allowing single cell genome mapping of TFs and chromatin remodellers!

So proud of John-William for this groundbreaking work. Two years of careful effort, and a real step change in how we read cancer genomes !

🗓️ Reminder of our #ArtificialIntelligence 4 #BasicResearch in #Medicine and the #LifeSciences today in the Belfer Research Building Full Agenda: eipm.weill.cornell.edu/news-…

Today’s keynote by @MoAlQuraishi "Some observations on how AlphaFold predicts structures and how it learns to predict structures”

Dr. Sidhom (@John_Will_I_Am)’s #research uses an artificial intelligence (#AI) model to “read” the language of #cancer mutations in order to understand why some KRAS-mutant cancers, including #ColonCancer, #LungCancer & #PancreaticCancer, do not respond to new targeted drugs.

💻 Explore #ArtificialIntelligence 4 #BasicResearch in #Medicine and the #LifeSciences 🤖Materials 🧠Neuroscience / Neural Network & Models 🩺Clinical Practice 🧬 Genes and Proteins 🧪Chem / Engineering REGISTER eipm.weill.cornell.edu/news-…

🤝 Intercampus @WeillCornell @cornell_tech @Cornell Symposium | AI to Advance Medicine @WCMEnglanderIPM @CornellEng @CornellPhysics @WCMPopHealthSci @WCMCNeurology @WeillCornellGS @cornellvet @CornellCALS @CornellChem eipm.weill.cornell.edu/news-…

An incredible honor to join this group of researchers pushing cancer care forward. Grateful to @ASCO @ConquerCancerFd for investing in early-career investigators and to my mentors for the support. @MDmanishshah @ElementoLab @WeillCornell @WCMHemOncFellow @WCMGIcancer @WCM_MeyerCancer

New publication from our group: what happens inside human endometrial tumors during a ketogenic diet? We analyzed paired tumor biopsies before and after a very low-carbohydrate intervention in women with endometrial cancer 🧵

Register today for our June 1-2 symposium, "#ArtificialIntelligence for #BasicResearch in #Medicine and the #LifeSciences," with @WCMEnglanderIPM Director Olivier Elemento, PhD (@ElementoLab) & Iman Hajirasouliha (@hajirasouliha)! Register: cognitoforms.com/IPM3/Sympos…

Please join us tomorrow--live or via Zoom--for the next @WCMEnglanderIPM Special Seminar & Ask Me Anything, "Behind the Scenes @Nature," featuring Dr. George Caputa (@curiousdrgeorge)!

Please join us for the next @WCMEnglanderIPM #PrecisionMedicine Seminar "Deep Learning Frameworks for Translating Cancer Drug Response from Cell-level to Patient-Level by Modeling #Transcriptome," by Dr. Sun Kim from @SeoulNatlUni next Friday the 29th at noon!

We hope you can join us Wednesday for our next @WCMEnglanderIPM #AI Clinic, featuring Samuel Ahuno (@SamuelAhuno) presenting "Agentic AI for Scalable Scientific Discoveries on #HPC" from 2-3 PM!

Have you registered yet for our June 1-2 symposium, "#ArtificialIntelligence for #BasicResearch in #Medicine and the #LifeSciences," with @WCMEnglanderIPM Director Olivier Elemento, PhD (@ElementoLab) & Iman Hajirasouliha (@hajirasouliha)? Register: cognitoforms.com/IPM3/Sympos…

Our next @WCMEnglanderIPM #AI Clinic will feature Samuel Ahuno (@SamuelAhuno) presenting "Agentic AI for Scalable Scientific Discoveries on #HPC" Wednesday the 20th from 2-3 PM!

Can we program cells like computers — using RNA? Two years ago, our group trained the first language model to decode the regulatory grammar of 5′ UTRs in mRNA, published in Nature Machine Intelligence. Today, we’re excited to share the next step, also in Nature Machine Intelligence: “Programmable RNA translation through deep learning-driven IRES discovery and de novo generation.” We built an AI engine to discover, predict, optimize, and generate IRES elements — RNA control modules that regulate translation initiation. This brings us closer to programmable RNA systems that control when, where, and how strongly proteins are produced inside cells. AI is no longer just helping us read biology. It is beginning to help us write it and harness it. The future of computing may not only run on silicon — it may also run inside living cells. #AIForBiology #LLM #AI4S #AI #RNA #MachineLearning #Bioengineering

Excited to share our RegVelo paper in Cell cell.com/cell/fulltext/S0092… We unify RNA velocity GRNs into one model → better OOD prediction of perturbations (e.g. gene KOs), with examples incl. neural crest KO predictions 🔬 Big thanks to W Wang, Z Hu & T Sauka-Spengler 🙏

Excited to present the first pre-print from our group, an investigation the human bone marrow microenvironments in patients with myelodysplastic syndromes (MDS) and normal age-matched subjects using Xenium genotype-informed spatial transcriptomics: biorxiv.org/content/10.64898…