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

• Published in: Frontiers in pharmacology Vol. 16; p. 1555040
• Main Authors: Qin, Shaojia, Deng, Biyu, Mo, Dan, Zhang, Zhengyou, Wei, Xuan, Ling, Zhougui
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 19.02.2025
• Subjects: artificial intelligence; BiomedGPT; chemotherapy response; machine learning; mitochondria-derived RNAs (mtRNAs); non-small cell lung cancer (NSCLC); Pharmacology; BiomedGPT; chemotherapy response; mitochondria-derived RNAs (mtRNAs); machine learning; biomarker discovery; artificial intelligence; non-small cell lung cancer (NSCLC)

Non-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 serve as nove...