AIMC Topic: Biosensing Techniques
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Machine Learning-Enhanced Bacteria Detection Using a Fluorescent Sensor Array with Functionalized Graphene Quantum Dots.
ACS applied materials & interfaces
Jan 2, 2025
Pathogenic bacteria are the source of many serious health problems, such as foodborne diseases and hospital infections. Timely and accurate detection of these pathogens is of vital significance for disease prevention, control of epidemic spread, and ...
Stress Monitoring in Pandemic Screening: Insights from GSR Sensor and Machine Learning Analysis.
Biosensors
Jan 2, 2025
This study investigates the impact of patient stress on COVID-19 screening. An attempt was made to measure the level of anxiety of individuals undertaking rapid tests for SARS-CoV-2. To this end, a galvanic skin response (GSR) sensor that was connect...
A drop dispenser for simplifying on-farm detection of foodborne pathogens.
PloS one
Dec 31, 2024
Nucleic-acid biosensors have emerged as useful tools for on-farm detection of foodborne pathogens on fresh produce. Such tools are specifically designed to be user-friendly so that a producer can operate them with minimal training and in a few simple...
An integrated microflow cytometry platform with artificial intelligence capabilities for point-of-care cellular phenotype analysis.
Biosensors & bioelectronics
Dec 23, 2024
The EZ DEVICE is an integrated fluorescence microflow cytometer designed for automated cell phenotyping and enumeration using artificial intelligence (AI). The platform consists of a laser diode, optical filter, objective lens, CMOS image sensor, and...
Machine Learning-Driven Innovations in Microfluidics.
Biosensors
Dec 13, 2024
Microfluidic devices have revolutionized biosensing by enabling precise manipulation of minute fluid volumes across diverse applications. This review investigates the incorporation of machine learning (ML) into the design, fabrication, and applicatio...
Machine learning-assisted implantable plant electrophysiology microneedle sensor for plant stress monitoring.
Biosensors & bioelectronics
Dec 12, 2024
Plant electrical signals serve as a medium for long-distance signal transmission and are intricately linked to plant stress responses. High-fidelity acquisition and analysis of plant electrophysiological signals contribute to early stress identificat...
ECLStat: A robust machine learning based visual imaging tool for electrochemiluminescence biosensing.
Computers in biology and medicine
Dec 9, 2024
Visual electrochemiluminescence (ECL) has emerged as a prominent diagnostic method for accurately quantifying various disease markers even at point of care setting with high sensitivity and accuracy. It does not employ complicated instruments such as...
Transformative laboratory medicine enabled by microfluidic automation and artificial intelligence.
Biosensors & bioelectronics
Dec 6, 2024
Laboratory medicine provides pivotal medical information through analyses of body fluids and tissues, and thus, it is essential for diagnosis of diseases as well as monitoring of disease progression. Despite its universal importance, the field is cur...
Selectively Quantify Toxic Pollutants in Water by Machine Learning Empowered Electrochemical Biosensors.
Environmental science & technology
Dec 6, 2024
Electroactive biofilm (EAB) sensors have become pivotal in water quality detection and early ecological risk warnings due to their remarkable sensitivity. However, it is challenging to identify multiple toxicants in complex water bodies concurrently....
A Universal Method for Fingerprinting Multiplexed Bacteria: Evolving Pruned Sensor Arrays via Machine Learning-Driven Combinatorial Group-Specificity Strategy.
ACS nano
Dec 2, 2024
Array-based sensing technology holds immense potential for discerning the intricacies of biological systems. Nevertheless, developing a universal strategy for simultaneous identification of diverse types of multianalytes and meeting the diagnostic ne...
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