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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Veröffentlicht in:Cancer Jg. 131; H. 11; S. e35883
1. Verfasser: Nierengarten, Mary Beth
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Wiley Subscription Services, Inc 01.06.2025
Schlagworte:
Deep learning
Immunotherapy
ISSN:0008-543X, 1097-0142, 1097-0142
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Abstract 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.
AbstractList 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.
Author Nierengarten, Mary Beth
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Cites_doi 10.1001/jamaoncol.2024.5356
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SubjectTerms Deep learning
Immunotherapy
Subtitle Study findings demonstrate a strong and independent deep learning‐based feature associated with an immune checkpoint inhibitor response in patients with NSCLC across cohorts
Title Deep learning model for predicting immunotherapy response in patients with advanced NSCLC
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