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Abstract Quantum Machine Learning (QML) is emerging as a promising technology for tackling complex computational challenges, although its practical implementation faces significant obstacles owed to the inherent noise in...

Abstract Ratiometric fluorescence sensors, which intrinsically compensate for fluctuations in ambient and excitation light intensity, have garnered extensive interest for their enhanced analytical reliability. In this st...

Abstract Parkinson’s Disease (PD) is a progressive neurodegenerative disorder that causes motor and cognitive impairments, affecting approximately 1% of individuals over 60 years of age. Speech impairments are among th...

Abstract Access to large, diverse biomedical datasets is critical for advancing medical research, yet privacy regulations severely restrict data sharing. We present an end-to-end framework for privacy-preserving health d...

Abstract The growing threat of antibiotic-resistant bacteria calls for the urgent development of novel antimicrobial agents. Binary chalcogenide nanoparticles, particularly Ag2Se nanoparticles, have emerged as promising ...

Abstract Microrobotic systems offer significant potential for precision medicine by enabling minimally invasive interventions in complex fluidic environments. However, effective operation in these settings requires actua...