A deep multiple instance learning framework improves microsatellite instability detection from tumor next generation sequencing.

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Title: A deep multiple instance learning framework improves microsatellite instability detection from tumor next generation sequencing.
Authors: Ziegler J; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; MongoDB, New York, NY, USA., Hechtman JF; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Caris Life Sciences, Irving, CA, USA., Rana S; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Ptashkin RN; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Natera, San Carlos, CA, USA., Jayakumaran G; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Guardant Health, Palo Alto, CA, USA., Middha S; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Adaptimmune, Philadelphia, PA, USA., Chavan SS; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Repertoire Immune Medicines, Cambridge, MA, USA., Vanderbilt C; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., DeLair D; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Northwell Health, Greenvale, NY, USA., Casanova J; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Shia J; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., DeGroat N; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Regeneron Pharmaceuticals, Tarrytown, NY, USA., Benayed R; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; AstraZeneca, New York, NY, USA., Ladanyi M; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Berger MF; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Fuchs TJ; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Weill Cornell Graduate School of Medical Sciences, New York, NY, USA.; Elli Lilly and Company, Indianapolis, IN, USA., Brannon AR; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA. brannona@mskcc.org., Zehir A; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Natera, San Carlos, CA, USA.
Source: Nature communications [Nat Commun] 2025 Jan 02; Vol. 16 (1), pp. 136. Date of Electronic Publication: 2025 Jan 02.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
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  Data: A deep multiple instance learning framework improves microsatellite instability detection from tumor next generation sequencing.
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