Announcement: AI Model COMPASS Predicts Immunotherapy Response Across Multiple Cancer Types

GMJ
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Prof. Giorgi Pkhakadze, MD, MPH, PhD
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Illustration of artificial intelligence analyzing tumor transcriptome data for immunotherapy prediction
Researchers have developed COMPASS, an AI model that predicts immunotherapy response across multiple cancer types and treatments using tumor gene expression data. The model, published in Nature Medicine, was validated across independent patient cohorts, potentially enabling better treatment selection and fewer unnecessary side effects. — Photo by Google DeepMind on Unsplash (Unsplash License)
1 min read|56 words

Researchers have developed COMPASS, a breakthrough AI model that predicts immunotherapy response across multiple cancer types using tumor gene expression data. Published in Nature Medicine, COMPASS could help oncologists identify which patients benefit most from checkpoint inhibitors—avoiding unnecessary toxicities and enabling faster treatment optimization. Read the evidence-based analysis. medicine

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GMJ
ByProf. Giorgi Pkhakadze, MD, MPH, PhD
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MD, MPH, PhD. Editor-in-Chief, Georgian Medical Journal (GMJ). Professor and Head, School of Public Health, David Tvildiani Medical University (DTMU), Tbilisi, Georgia. Chair, Public Health Institute of Georgia (PHIG). President, Accréditation Sans Frontières (ASF), Paris. Secretary/Treasurer, UEMS Section of Public Health. WHO Consultant, Health and Migration, Geneva. Former Member, UN Secretary-General's Independent Accountability Panel for Every Woman, Every Child, Every Adolescent (IAP-EWEC, 2016–2021). ORCID: 0000-0001-7609-4515.

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