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Existing biomarkers predicting ICI treatment response in advanced NSCLC
Mehrdad Rakaee/LinkedIn
Dec 29, 2024, 10:21

Existing biomarkers predicting ICI treatment response in advanced NSCLC

JAMA Oncology shared a post on X:

“A deep learning AI model showed improved accuracy over existing biomarkers in predicting immune checkpoint inhibitor treatment response in advanced non-small cell lung cancer patients.”

biomarkers

Deep Learning Model for Predicting Immunotherapy Response in Advanced Non−Small Cell Lung Cancer

Authors: Mehrdad Rakaee, Masoud Tafavvoghi, Biagio Ricciuti, Joao V. Alessi, Alessio Cortellini, Fabrizio Citarella, Lorenzo Nibid, Giuseppe Perrone, Elio Adib, Claudia A. M. Fulgenzi, Cassio Murilo Hidalgo Filho, Alessandro Di Federico, Falah Jabar, Sayed Hashemi, Ilias Houda, Elin Richardsen, Lill-Tove Rasmussen Busund, Tom Donnem, Idris Bahce, David J. Pinato, Åslaug Helland, Lynette M. Sholl, Mark M. Awad, and David J. Kwiatkowski.

biomarkers

AI Alessandro Di Federico Alessio Cortellini Åslaug Helland Biagio Ricciuti cancer Cassio Murilo Hidalgo Filho Claudia A. M. Fulgenzi David J. Kwiatkowski David J. Pinato Elin Richardsen Elio Adib Fabrizio Citarella Falah Jabar Giuseppe Perrone ICI treatment Idris Bahce Ilias Houda JAMA Oncology Joao V. Alessi Lill-Tove Rasmussen Busund Lorenzo Nibid Lynette M. Sholl Mark M. Awad Masoud Tafavvoghi Mehrdad Rakaee non small cell lung cancer NSCLC OncoDaily Oncology Sayed Hashemi Tom Donnem
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