Artificial Intelligence-Enabled Biomedical Sensing Using Sub-5 Nm 2D Silicon Nanowire Mosfets

Abstract

The miniaturization of electronic devices has revolutionized the field of biomedical sensing, enabling the development of portable, low-power, and highly sensitive sensors. As we push the boundaries of technology, the integration of Silicon Nanowire MOSFETs (SNW-MOSFETs) into sub-5 nm devices presents an exciting opportunity for biomedical sensing applications. This study explores the potential of SNW-MOSFET-based biomedical sensors, leveraging the unique properties of 2D Silicon Nanowires and the capabilities of artificial intelligence. By combining cutting-edge nanotechnology with AI-driven data analysis, this research aims to unlock the full potential of sub-5 nm SNW-MOSFET-based sensors, enabling novel applications in intelligent healthcare, precision diagnostics, and point-of-care testing. The investigation focuses on the integration of SNW-MOSFETs with artificial intelligence techniques, exploring the synergies and potential challenges that arise from this convergence of technologies.