Machine Learning Assessment of Pathologic Response in Lung Cancer Resections After Neoadjuvant Therapy—IASLC MPR Project

Journal of Thoracic Oncology 2026

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Authors: Sanja Dacic, Daniel Shenker, Mary Redman, Lauren Brunner, Anjali Saqi, Wendy A. Cooper, Alain Borczuk, Jin‐Haeng Chung, Carolyn Glass, Javier Martin Lopez, Anja C. Roden, Lynette Sholl
+30 more Annikka Weissferdt, Jacqueline Brosnan-Cashman, Stephanie Hennek, S. Grullon, Juan Posadas, Junya Fujimoto, Casey Connolly, Murry W. Wynes, Beatriz Sanchez-Espiridion, J. Jack Lee, Sabina Berezowska, Teh-Ying Chou, Keith Kerr, Andrew G. Nicholson, Kurt A. Schalper, Ming-Sound Tsao, Neal Ready, Tina Cascone, John Heymach, Boris Sepesi, Catherine Shu, Naiyer Rizvi, Josuha Sonett, Nasser Khaled Altorki, Mariano Provencio, Paul Bunn, Mark G. Kris, William Travis, Limin Yu, Ignacio Wistuba
DOI: 10.1016/j.jtho.2026.103953
Cited by: 1
References: 47

Fields of Study & Subjects

Lung Cancer Diagnosis and Treatment Radiomics and Machine Learning in Medical Imaging Lung Cancer Research Studies

Publication details

Journal / source
Journal of Thoracic Oncology
Publisher
Elsevier BV
Volume
21
Issue
10
Pages
103953–103953
Publication date
1 June 2026
Language
EN