Diego Chowell
@diegochowell
Assistant Professor in the Icahn School of Medicine at Mount Sinai
Chowell Lab; AI, cancer genomics, the immune system
ID: 104807289
https://www.chowell-lab.com/ 14-01-2010 13:17:58
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597 Followers
462 Following
Happy to see our work out Cell Systems A deep biophysical AI system can generate entire peptidomes in seconds across all HLA-I alleles in the human population, with ramifications to understand disease associations from a new perspective. cell.com/cell-systems/a…
Weekend read: We are discussing the future of AI in cancer research in Cancer Cell sciencedirect.com/science/articl… ... with Moritz Gerstung James Zou Marzyeh Diego Chowell Jonas Teuwen Faisal Mahmood 🤩 Nationales Centrum für Tumorerkrankungen Dresden @nct_hd DKFZ Universitätsklinikum Heidelberg TU Dresden
Excited to share our HLA-pQTL study revealing widespread HLA trans effects on protein expression in UK Biobank- now out at Nature Communications with Xinli Hu, Josh Chiou, Soumya Raychaudhuri সৌম্য রায়চৌধুরী, Saori Sakaue, Joyce Kang, PhD, and many more Pfizer Inc.! nature.com/articles/s4146…
JOIN US Oct 3 in NY for: Next Generation Immunotherapy Discoveries, a symposium on innate immunology & more, organized by Eric Vivier Innate Pharma Miriam Merad, MD, PhD, with lunch & cocktail reception. Limited spaces available. Don’t miss out! REGISTER FOR FREE innate-symposium.com
Grateful for positive input of my Mount Sinai Health System Icahn School of Medicine at Mount Sinai The Tisch Cancer Institute talk yesterday invited by Diego Chowell, enjoyed interactions with Scott Friedman Elvin Wagenblast Goutam Chakraborty Franco Izzo Poulikos Poulikakos The Dominguez-Sola Lab Juan Arriaga Martin Walsh and others!
To find out how genetic immune escape alterations interact with environmental factors in cancer, and understanding this relationship informs approaches to early detection and therapy, check out this REVIEW in Trends in Cancer by Diego Chowell & Francisco Martínez-Jiménez >>> cell.com/trends/cancer/…
What unique insights can modeling approaches capture about the immune system? cell.com/cell-systems/f… Voices Cell Systems
Who would benefit from checkpoint inhibitor immunotherapy for cancer? A machine learning model based on routine lab tests and basic clinical data outperformed FDA approved biomarkers (such as PD-L1) nature.com/articles/s4159… Nature Medicine from nearly 10,000 patients
Using multiple data sets, a machine learning model using routine blood and clinical data is shown to be predictive of patient response to immune checkpoint inhibitor therapy, across cancer types and outperforming standard biomarkers Diego Chowell nature.com/articles/s4159…
cancer.gov/news-events/ca… To build and test SCORPIO, Diego Chowell and colleagues used data from nearly 10,000 people who had been treated with one or a combination of immune checkpoint inhibitors at Mount Sinai Health System and Memorial Sloan Kettering Cancer Center.
🚨Today in Cell, we show that RNA splicing factor mutations in myeloid cancers generate splicing-derived public neoantigens targetable by #TCR tx. Amazing collaboration co-led by Abdel-Wahab Lab, Robert K. Bradley, and Klebanoff_Lab. #Tcellpower cell.com/cell/fulltext/…
Excited to share our paper out today in Cell Press discovering RNA mis-splicing derived neoantigens & their cognate T cell receptors (TCRs) as well as characterization of endogenous neoantigen T cells in leukemia patients. authors.elsevier.com/sd/article/S00…