Deep learning model for predicting immunotherapy response in patients with advanced NSCLC Study findings demonstrate a strong and independent deep learning‐based feature associated with an immune checkpoint inhibitor response in patients with NSCLC across cohorts

This news section offers Cancer readers timely information on events, public policy analysis, topical issues, and personalities. In this issue, study findings demonstrate a strong and independent deep learning‐based feature associated with an immune checkpoint inhibitor response in patients with NSC...

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Vydané v:Cancer Ročník 131; číslo 11; s. e35883
Hlavný autor: Nierengarten, Mary Beth
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Wiley Subscription Services, Inc 01.06.2025
Predmet:
Deep learning
Immunotherapy
ISSN:0008-543X, 1097-0142, 1097-0142
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Shrnutí:This news section offers Cancer readers timely information on events, public policy analysis, topical issues, and personalities. In this issue, study findings demonstrate a strong and independent deep learning‐based feature associated with an immune checkpoint inhibitor response in patients with NSCLC across cohorts. In addition, cabozantinib was found to significantly improve progression‐free survival in a heavily pretreated population of patients with advanced neuroendocrine tumors, and a new standard of care is discussed for patients with asymptomatic brain metastases from melanoma.
Bibliografia:ObjectType-Article-1
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ObjectType-Feature-2
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ISSN:0008-543X
1097-0142
1097-0142
DOI:10.1002/cncr.35883