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

ABSTRACT:

Importance

Only a small fraction of patients with advanced non-small cell lung cancer (NSCLC) respond to immune checkpoint inhibitor (ICI) treatment. For optimal personalized NSCLC care, it is imperative to identify patients who are most likely to benefit from immunotherapy.

Objective

To develop a supervised deep learning-based ICI response prediction method; evaluate its performance alongside other known predictive biomarkers; and assess its association with clinical outcomes in patients with advanced NSCLC.

Design, setting, and participants

This multicenter cohort study developed and independently validated a deep learning-based response stratification model for predicting ICI treatment outcome in patients with advanced NSCLC from whole slide hematoxylin and eosin-s

SUBMITTER: Rakaee M 

PROVIDER: S-EPMC11843371 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature