[HTML][HTML] Nano biosensors: Classification, electrochemistry, nanostructures, and optical properties
AM Rheima, ZT Al-Sharify, AA Mohaimeed… - Results in …, 2024 - Elsevier
The incidence of chronic diseases in contemporary society has been steadily rising with the
ageing population. They place a significant strain on both people and the healthcare system …
ageing population. They place a significant strain on both people and the healthcare system …
Strategies to Enrich Electrochemical Sensing Data with Analytical Relevance for Machine Learning Applications: A Focused Review
M Kang, D Kim, J Kim, N Kim, S Lee - Sensors, 2024 - mdpi.com
In this review, recent advances regarding the integration of machine learning into
electrochemical analysis are overviewed, focusing on the strategies to increase the …
electrochemical analysis are overviewed, focusing on the strategies to increase the …
Artificial-Intelligence Bio-Inspired Peptide for Salivary Detection of SARS-CoV-2 in Electrochemical Biosensor Integrated with Machine Learning Algorithms
MA Garcia-Junior, BS Andrade, AP Lima, IP Soares… - Biosensors, 2025 - mdpi.com
Developing affordable, rapid, and accurate biosensors is essential for SARS-CoV-2
surveillance and early detection. We created a bio-inspired peptide, using the SAGAPEP AI …
surveillance and early detection. We created a bio-inspired peptide, using the SAGAPEP AI …
Synthetic Electrochemical Biosensor Data with Conditional Variational Autoencoders for Enhanced Predictive Modeling
Electrochemical biosensors (EB) have revolutionized various domains with their rapid and
sensitive analyte detection capabilities. However, as EBs advance to tackle more …
sensitive analyte detection capabilities. However, as EBs advance to tackle more …