Výsledky vyhledávání - "Robert Findlater"

Akademický článek

Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images

Autor: Apaar Sadhwani, Huang-Wei Chang, Ali Behrooz, Trissia Brown, Isabelle Auvigne-Flament, Hardik Patel, Robert Findlater, Vanessa Velez, Fraser Tan, Kamilla Tekiela, Ellery Wulczyn, Eunhee S. Yi, Craig H. Mermel, Debra Hanks, Po-Hsuan Cameron Chen, Kimary Kulig, Cory Batenchuk, David F. Steiner, Peter Cimermancic

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)

Abstract Both histologic subtypes and tumor mutation burden (TMB) represent important biomarkers in lung cancer, with implications for patient prognosis and treatment decisions. Typically, TMB is evaluated by comprehensive genomic profiling but this

Externí odkaz: https://doaj.org/article/bb85166704e240079299ad3d736a4fbb

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Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images

Autor: Isabelle Auvigne-Flament, Craig H. Mermel, Peter Cimermancic, David F. Steiner, Ellery Wulczyn, Trissia Brown, Cory Batenchuk, Vanessa Velez, Apaar Sadhwani, Kamilla Tekiela, Kimary Kulig, Chang Huang-Wei, Ali Behrooz, Eunhee S. Yi, Robert Findlater, Debra Hanks, Hardik Patel, Po-Hsuan Cameron Chen, Fraser Tan

Publikováno v: Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)

Both histologic subtypes and tumor mutation burden (TMB) represent important biomarkers in lung cancer, with implications for patient prognosis and treatment decisions. Typically, TMB is evaluated by comprehensive genomic profiling but this requires

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8df2f11f3466f9cac5f9e4ddac27c131
https://doi.org/10.1038/s41598-021-95747-4

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A machine learning-based approach for the inference of immunotherapy biomarker status in lung adenocarcinoma from hematoxylin and eosin (H&E) histopathology images

Autor: Debra Hanks, Hardik Patel, Ali Behrooz, Eunhee S. Yi, Peter Cimermancic, Huan-Wei Chang, Kimary Kulig, Robert Findlater, Kamilla Tekiela, Vanessa Velez, Apaar Sadhwani, Cory Batenchuk

Publikováno v: Journal of Clinical Oncology. 38:3122-3122

3122 Background: The current standard work-up for both diagnosis and predictive biomarker testing in metastatic non-small cell lung cancer (NSCLC), can exhaust an entire tumor specimen. Notably, gene mutation panels or tumor mutation burden (TMB) tes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1af54fc7f15e3a2e930ea529efe99e73
https://doi.org/10.1200/jco.2020.38.15_suppl.3122

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