Graphene Field-Effect Transistors as a Platform for Intelligent, Flexible Biosensors

Graphene field-effect transistors (GFETs) are emerging as a powerful platform for biomedical sensing, providing ultra-sensitive, label-free, and real-time detection of molecular biomarkers. Their compatibility with flexible substrates further enables integration into wearable and implantable electronic systems, advancing continuous and minimally invasive health monitoring technologies.

Recent developments demonstrate that coupling GFET sensor outputs with artificial intelligence (AI) and machine learning algorithms can significantly enhance performance. By analyzing the complex, multidimensional data generated by GFETs, AI models can reduce signal variability, suppress noise, and improve diagnostic accuracy.

This presentation will discuss recent progress in GFET-based biosensing, focusing on fabrication strategies, signal transduction mechanisms, and data-driven analysis methods. The integration of graphene nanoelectronics, flexible device engineering, and AI-assisted signal processing will be examined as a pathway toward scalable, high-precision platforms for next-generation point-of-care and continuous monitoring applications.