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Author

Hamad Al Shahi

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Sep 2026

Integrated Transcriptomic, Network Pharmacology, and Machine-Learning Framework Identifies Candidate Phytochemical-Associated Targets in Lung Adenocarcinoma

CA4 is prioritized as a reproducible LUAD-associated candidate supported by transcriptomic, machine-learning, immune, survival, and docking evidence, but the computational findings do not demonstrate direct phytochemical regulation of CA4 or therapeutic efficacy.

Awaji Y. Safhi, Fahad Y. Sabei, Ali Hanbashi et al. · 0 citations

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