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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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Gardado en:
Principais autores: Shaojia Qin, Biyu Deng, Dan Mo, Zhengyou Zhang, Xuan Wei, Zhougui Ling
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Pharmacology
Assuntos:
non-small cell lung cancer (NSCLC)
chemotherapy response
mitochondria-derived RNAs (mtRNAs)
BiomedGPT
machine learning
artificial intelligence
Acceso en liña:https://www.frontiersin.org/articles/10.3389/fphar.2025.1555040/full
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