A comprehensive analysis of ML-driven methodologies for denoising, spectral decomposition, feature extraction, and high-accuracy classification in CQD fluorescence systems shows how ML enables ultra-low-level analyte detection, interpretable photophysical modeling, and real-time intelligent sensing across chemical and biological environments.
B. T. Sayed, Maharshi B. Shukla, Sumit Sharma et al.· RSC Advances· 0 citations
SIRT1–GAPDH signaling represents a post-translational axis linking sirtuin activity directly to glycolytic enzyme function, distinct from SIRT1's traditional transcriptional roles and serving as a viable molecular checkpoint in microglial immunometabolism.
Chou-Yi Hsu, I. Sapaev, O. Nematov et al.· Frontiers in Immunology· 0 citations
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