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Graphene–Copper Hybrid Terahertz Biosensor with KNN Sensitivity Optimization for Early Skin Cancer (Melanoma) Detection | Synapse
March 3, 2026
Graphene–Copper Hybrid Terahertz Biosensor with KNN Sensitivity Optimization for Early Skin Cancer (Melanoma) Detection
HK
Hamza Ben Krid
HM
Hanen Mehrez
AH
Aymen Hlali
University of Carthage
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Puntos clave
The biosensor demonstrates significant improvement in sensitivity for early melanoma detection.
Sensitivity was optimized using the K-nearest neighbors (KNN) algorithm, achieving a notable increase.
Assessment involved comparing performance metrics of the hybrid sensor against traditional methods.
Results indicate potential for early skin cancer diagnosis, but further validation in clinical settings is necessary.
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Krid et al. (Sat,) studied this question.
synapsesocial.com/papers/69a759ffc6e9836116a1f71c
https://doi.org/https://doi.org/10.1007/s11220-026-00722-w
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