AIMC Topic: Biosensing Techniques
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Deep Learning-Based Kinetic Analysis in Paper-Based Analytical Cartridges Integrated with Field-Effect Transistors.
ACS nano
Aug 27, 2024
This study explores the fusion of a field-effect transistor (FET), a paper-based analytical cartridge, and the computational power of deep learning (DL) for quantitative biosensing via kinetic analyses. The FET sensors address the low sensitivity cha...
Role of Machine Learning Assisted Biosensors in Point-of-Care-Testing For Clinical Decisions.
ACS sensors
Aug 15, 2024
Point-of-Care-Testing (PoCT) has emerged as an essential component of modern healthcare, providing rapid, low-cost, and simple diagnostic options. The integration of Machine Learning (ML) into biosensors has ushered in a new era of innovation in the ...
Advances in Machine Learning for Wearable Sensors.
ACS nano
Aug 15, 2024
Recent years have witnessed tremendous advances in machine learning techniques for wearable sensors and bioelectronics, which play an essential role in real-time sensing data analysis to provide clinical-grade information for personalized healthcare....
C-reactive protein (CRP) evaluation in human urine using optical sensor supported by machine learning.
Scientific reports
Aug 14, 2024
The rapid and sensitive indicator of inflammation in the human body is C-Reactive Protein (CRP). Determination of CRP level is important in medical diagnostics because, depending on that factor, it may indicate, e.g., the occurrence of inflammation o...
LSPR-susceptible metasurface platform for spectrometer-less and AI-empowered diagnostic biomolecule detection.
Analytica chimica acta
Aug 13, 2024
In response to the growing demand for biomolecular diagnostics, metasurface (MS) platforms based on high-Q resonators have demonstrated their capability to detect analytes with smart data processing and image analysis technologies. However, high-Q re...
Insertable Glucose Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning.
ACS nano
Aug 13, 2024
Optical continuous glucose monitoring (CGM) systems are emerging for personalized glucose management owing to their lower cost and prolonged durability compared to conventional electrochemical CGMs. Here, we report a computational CGM system, which i...
Nanoscale single-vesicle analysis: High-throughput approaches through AI-enhanced super-resolution image analysis.
Biosensors & bioelectronics
Aug 5, 2024
The analysis of membrane vesicles at the nanoscale level is crucial for advancing the understanding of intercellular communication and its implications for health and disease. Despite their significance, the nanoscale analysis of vesicles at the sing...
Machine learning-assisted label-free colorectal cancer diagnosis using plasmonic needle-endoscopy system.
Biosensors & bioelectronics
Aug 3, 2024
Early and accurate detection of colorectal cancer (CRC) is critical for improving patient outcomes. Existing diagnostic techniques are often invasive and carry risks of complications. Herein, we introduce a plasmonic gold nanopolyhedron (AuNH)-coated...
Integrating machine learning and biosensors in microfluidic devices: A review.
Biosensors & bioelectronics
Aug 3, 2024
Microfluidic devices are increasingly widespread in the literature, being applied to numerous exciting applications, from chemical research to Point-of-Care devices, passing through drug development and clinical scenarios. Setting up these microenvir...
CRISPR-Enhanced Photocurrent Polarity Switching for Dual-lncRNA Detection Combining Deep Learning for Cancer Diagnosis.
Analytical chemistry
Aug 2, 2024
Abnormal expression in long noncoding RNAs (lncRNAs) is closely associated with cancers. Herein, a novel CRISPR/Cas13a-enhanced photocurrent-polarity-switching photoelectrochemical (PEC) biosensor was engineered for the joint detection of dual lncRNA...
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