AIMC Topic: Biosensing Techniques
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Optimizing microfluidic chip for rapid SARS-CoV-2 detection using Taguchi method and artificial neural network PSO.
Scientific reports
Apr 23, 2025
Microfluidic biosensors offer a promising solution for real-time analysis of coronaviruses with minimal sample volumes. This study optimizes a biochip for the rapid detection of SARS-CoV-2 using the Taguchi orthogonal table L(3), which comprises nine...
Heterojunction nanofluidic memristors based on peptide chain valves for neuromorphic applications.
Biosensors & bioelectronics
Apr 18, 2025
Memristors exhibit significant potential for neuromorphic computing due to their unique properties. This study introduces a heterojunction nanofluidic memristor (HJNFM) and explores its applications in simulating synapses and constructing neural netw...
Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals.
Biosensors
Apr 16, 2025
Diabetes is a growing global health concern, affecting millions and leading to severe complications if not properly managed. The primary challenge in diabetes management is maintaining blood glucose levels (BGLs) within a safe range to prevent compli...
Aptamer-functionalized graphene quantum dots combined with artificial intelligence detect bacteria for urinary tract infections.
Frontiers in cellular and infection microbiology
Apr 16, 2025
OBJECTIVES: Urinary tract infection is one of the most prevalent forms of bacterial infection, and prompt and efficient identification of pathogenic bacteria plays a pivotal role in the management of urinary tract infections. In this study, we propos...
Micro- and Nano-Bots for Infection Control.
Advanced materials (Deerfield Beach, Fla.)
Apr 10, 2025
Medical micro- and nano-bots (MMBs and MNBs) have attracted a lot of attention owing to their precise motion for accessing difficult-to-reach areas in the body. These emerging tools offer the promise of non-invasive diagnostics and therapeutics for a...
DeepATsers: a deep learning framework for one-pot SERS biosensor to detect SARS-CoV-2 virus.
Scientific reports
Apr 10, 2025
The integration of Artificial Intelligence (AI) techniques with medical kits has revolutionized disease diagnosis, enabling rapid and accurate identification of various conditions. We developed a novel deep learning model, namely DeepATsers based on ...
Deep-Learning-Assisted Microfluidic Immunoassay via Smartphone-Based Imaging Transcoding System for On-Site and Multiplexed Biosensing.
Nano letters
Apr 9, 2025
Point-of-care testing (POCT) with multiplexed capability, ultrahigh sensitivity, affordable smart devices, and user-friendly operation is critically needed for clinical diagnostics and food safety. This study presents a deep-learning-assisted microfl...
Fast, accurate, and versatile data analysis platform for the quantification of molecular spatiotemporal signals.
Cell
Apr 8, 2025
Optical recording of intricate molecular dynamics is becoming an indispensable technique for biological studies, accelerated by the development of new or improved biosensors and microscopy technology. This creates major computational challenges to ex...
Transfer learning and data augmentation for glucose concentration prediction from colorimetric biosensor images.
Mikrochimica acta
Apr 8, 2025
A deep learning algorithm is introduced to accurately predict glucose concentrations using colorimetric paper sensor (CPS) images. We used an image dataset from CPS treated with five different glucose concentrations as input for deep learning models....
Directed Evolution of Fluorescent Genetically Encoded Biosensors: Innovative Approaches for Development and Optimization of Biosensors.
Chembiochem : a European journal of chemical biology
Apr 4, 2025
Fluorescent protein-based biosensors are indispensable molecular tools in cell biology and biomedical research, providing non-invasive dynamic measurements of metabolite concentrations and other cellular signals. Traditional methods for developing th...
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