Machine learning models for identifying predictors of clinical outcomes with first-line immune checkpoint inhibitor therapy in advanced non-small cell lung cancer
Abstract Immune checkpoint inhibitors (ICIs) are standard-of-care as first-line (1L) therapy for advanced non-small cell lung cancer (aNSCLC) without actionable oncogenic driver mutations. While clinical trials demonstrated benefits of ICIs over chemotherapy, variation in outcomes across patients ha...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-10-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-20061-6 |