[HTML][HTML] Recent advancements in MXene-based biosensors for health and environmental applications—a review
Owing to their unique physicochemical properties, MXenes have emerged as promising
materials for biosensing applications. This review paper comprehensively explores the …
materials for biosensing applications. This review paper comprehensively explores the …
Design and analysis of high-sensitivity hormone sensor with KNN behavior prediction for healthcare and biomedical applications
This study presents an advanced sensor system integrating gold metasurfaces with
graphene for the detection of reproductive hormones via refractive index variations. The …
graphene for the detection of reproductive hormones via refractive index variations. The …
Numerical analysis of an advanced infrared-based metasurface surface Plasmon resonance sensor for COVID-19 detection
The SARS-CoV-2 pandemic has highlighted the critical need for rapid and precise
diagnostic methodologies. Conventional testing approaches often exhibit limitations in terms …
diagnostic methodologies. Conventional testing approaches often exhibit limitations in terms …
Nanoengineered graphene metasurface surface plasmon resonance sensor for precise hemoglobin detection with AI-assisted performance prediction
The development of highly sensitive and reliable biosensors for hemoglobin detection is
crucial for various medical and diagnostic applications. Hemoglobin, a vital protein in red …
crucial for various medical and diagnostic applications. Hemoglobin, a vital protein in red …
High-performance terahertz surface plasmon resonance sensor with graphene-perovskite metasurface for early cancer detection
Cancer continues to be a major global health challenge, where early detection is vital for
enhancing patient survival rates. Conventional diagnostic techniques frequently face …
enhancing patient survival rates. Conventional diagnostic techniques frequently face …
Terahertz metasurface biosensor for high-sensitivity salinity detection and data encoding with machine learning optimization based on random forest regression
This research presents a terahertz-based biosensor for high-precision salinity detection,
employing a synergistic integration of graphene, gold, and silver in a metasurface …
employing a synergistic integration of graphene, gold, and silver in a metasurface …
Graphene-enabled multiresonator metasurfaces for ultrasensitive surface Plasmon resonance detection of waterborne bacteria across multiple frequencies with …
This investigation presents the development and characterization of a high-performance
terahertz biosensing platform optimized for ultrasensitive detection of waterborne pathogens …
terahertz biosensing platform optimized for ultrasensitive detection of waterborne pathogens …
Development of a High-Sensitivity Graphene-Metal Nanocomposite Metasurfaces Biosensor with Machine Learning Integration for Rapid Detection of Waterborne …
J Wekalao - Plasmonics, 2025 - Springer
Pathogenic bacteria in water systems present a significant epidemiological burden, with
substantial mortality rates observed predominantly in regions lacking advanced water …
substantial mortality rates observed predominantly in regions lacking advanced water …
Graphene-Based SPR Sensor Design for Bio-Alcohol Detection in the Terahertz Regime with Machine Learning Optimization Using XGBoost Regressor
This study presents the design and computational simulation of a graphene-based sensor
optimized for bio-alcohol detection within the terahertz frequency range. The sensor …
optimized for bio-alcohol detection within the terahertz frequency range. The sensor …
Automated Malaria Detection Using Deep Learning: A Convolutional Neural Network Approach for Microscopic Cell Image Analysis
M Mahajan, AS Kalra, A Bansal… - … on Decision Aid …, 2024 - ieeexplore.ieee.org
This study explores using a Convolutional Neural Network (CNN) for automated malaria
detection from microscopic cell images. A dataset of 27,558 images was split into training …
detection from microscopic cell images. A dataset of 27,558 images was split into training …