Predictive mutation signature of immunotherapy benefits in NSCLC based on machine learning algorithms.

Abstract excerpt

Background: Developing prediction tools for immunotherapy approaches is a clinically important and rapidly emerging field. The routinely used prediction biomarker is inaccurate and may not adequately utilize large amounts of medical data. Machine learning is a promising way to predict the benefit of immunotherapy from individual data by individuating the most important features from genomic data and clinical...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Biomarkers, Tumor