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Machine-learning assisted 2D field-effect transistors for intelligent biosensing and analysis | Synapse
March 3, 2026
Machine-learning assisted 2D field-effect transistors for intelligent biosensing and analysis
YY
Yi Ye
King University
HH
Hongwei Hou
Henan University of Engineering
LY
Lei Yang
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Puntos clave
Improved biosensing performance through machine learning integration demonstrates new potential in biosensor applications.
The implementation of machine learning led to a 30% increase in sensitivity and specificity in field-effect transistors.
Observation of data analysis efficiencies aided by machine learning techniques enhances biosensor reliability.
Such advancements may enable more effective real-time health monitoring using 2D field-effect transistor technology.
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Cite This Study
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Ye et al. (Fri,) studied this question.
synapsesocial.com/papers/69a75f65c6e9836116a2abd0
https://doi.org/https://doi.org/10.1016/j.trac.2026.118703