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
This review argues that circular topology should be viewed as an active pharmacologic variable, not merely a stability enhancement, and dissect recent advances in cap-independent translation initiation, including IRES elements and m6A-driven mechanisms, rolling-circle translation for multi-epitope vaccine design, and programmable stability circuits that integrate tumor-microenvironment cues such as miRNA signatures.
Amr A. El-Sehrawy, H. Al-Ameer, J. Rizaev et al.· Biotechnology and Bioenginee...· 0 citations
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