Artificial Intelligence Algorithm Predicts Response to Immune Checkpoint Inhibitors.

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Bibliographic Details
Title: Artificial Intelligence Algorithm Predicts Response to Immune Checkpoint Inhibitors.
Authors: Fa'ak F; Division of Medical Oncology, Washington University School of Medicine, St. Louis, Missouri.; Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York., Coudray N; Applied Bioinformatics Laboratories, New York University School of Medicine, New York, New York.; Department of Medicine, New York University School of Medicine, New York, New York., Jour G; Department of Pathology, New York University School of Medicine, New York, New York., Ibrahim M; The Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York, New York., Illa-Bochaca I; The Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York, New York., Qiu S; The Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York, New York., Claudio Quiros A; School of Computing Science, University of Glasgow, Glasgow, United Kingdom.; School of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom., Yuan K; School of Computing Science, University of Glasgow, Glasgow, United Kingdom.; School of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.; Cancer Research UK Scotland Institute, Glasgow, United Kingdom., Johnson DB; Department of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, Tennessee., Rimm DL; Department of Pathology, Yale University School of Medicine, New Haven, Connecticut., Weber JS; Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York.; Department of Medicine, New York University School of Medicine, New York, New York., Tsirigos A; Applied Bioinformatics Laboratories, New York University School of Medicine, New York, New York.; Department of Medicine, New York University School of Medicine, New York, New York.; Department of Pathology, New York University School of Medicine, New York, New York., Osman I; Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York.; Department of Medicine, New York University School of Medicine, New York, New York.
Source: Clinical cancer research : an official journal of the American Association for Cancer Research [Clin Cancer Res] 2025 Aug 14; Vol. 31 (16), pp. 3526-3536.
Publication Type: Journal Article
Journal Info: Publisher: American Association for Cancer Research Country of Publication: United States NLM ID: 9502500 Publication Model: Print Cited Medium: Internet ISSN: 1557-3265 (Electronic) Linking ISSN: 10780432 NLM ISO Abbreviation: Clin Cancer Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1557-3265
DOI:10.1158/1078-0432.CCR-24-3720