Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy

Machine learning based on blood test biomarkers predicts fast progression in advanced NSCLC patients treated with immunotherapy

Objective Fast progression (FP) represents a desperate situation for advanced non-small cell lung cancer (NSCLC) patients undergoing immune checkpoint inhibitor therapy. We aimed to develop a predictive framework based on machine learning (ML) methods to identify FP in advanced NSCLC patients using...

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Bibliographic Details
Main Authors: Jie Yang, Jian-Guo Zhou, Benjamin Frey, Hu Ma, Haitao Wang, Markus Hecht, Rainer Fietkau, Udo Gaipl, Xiaofei Chen, Ada Hang-Heng Wong, Fangya Tan, Si-Si He, Gang Shen, Yun-Jia Wang, Wenzhao Zhong
Format: Article
Language:English
Published: BMJ Publishing Group 2024-07-01
Series:BMJ Oncology
Online Access:https://bmjoncology.bmj.com/content/3/1/e000128.full
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https://bmjoncology.bmj.com/content/3/1/e000128.full

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