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Harnessing machine learning and AI-driven analytics to identify novel drug targets and predict chemotherapy efficacy in NSCLC

IntroductionNon-small cell lung cancer (NSCLC) constitutes the majority of lung cancer cases and exhibits marked heterogeneity in both clinical presentation and molecular profiles, leading to variable responses to chemotherapy. Emerging evidence suggests that mitochondria-derived RNAs (mtRNAs) may s...

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Main Authors: Shaojia Qin, Biyu Deng, Dan Mo, Zhengyou Zhang, Xuan Wei, Zhougui Ling
Format: Artigo
Language:Inglês
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Pharmacology
Subjects:
non-small cell lung cancer (NSCLC)
chemotherapy response
mitochondria-derived RNAs (mtRNAs)
BiomedGPT
machine learning
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2025.1555040/full
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