BACKGROUND: Artificial-intelligence (AI) based computer vision emerges as an important part in the digital microfluidic (DMF) system for realization of high-level automatic control of droplets for on-site pathogen detection at the nano-micro scale. H...
The accumulation of multiple antibiotics in the environment poses severe threats to ecosystems and human health, demanding rapid, sensitive, and portable detection methods. This study introduces a lanthanide-gold nanocluster (AuNCs)-based microfluidi...
The widespread use of pesticides and genetically modified (GM) crops has greatly improved agricultural productivity and food security. However, excessive pesticide application and the presence of exogenous proteins from GM crops pose significant risk...
Self-driven microfluidic devices have significantly advanced point-of-care testing (POCT) by enabling integration and automation of all the components required for biochemical analysis through capillary-driven fluid flow, eliminating the need for ext...
Wearable microfluidic devices enable multiplexed, continuous monitoring of analytes in body fluids such as sweat, interstitial fluid, tears, and saliva, providing comprehensive data for personalized health management and disease diagnosis. These devi...
Chemiluminescent (CL) biosensors have rapidly emerged as indispensable analytical tools within the multifaceted domains of pharmaceutical research, development, and clinical diagnostics. This prominence stems from their intrinsic attributes such as h...
The lack of effective optimization strategies hinders the optimal performance of paper-based microfluidic analytical devices (μPADs). In this work, a Machine Learning-driven Computer vision-BP Neural Networks-Genetic Algorithm-based Cyclic Optimizing...
Microfluidic technology, originally developed for lab-on-a-chip applications, has rapidly expanded into wearable and implantable biomedical systems, enabling precise fluid handling for real-time biosensing, targeted drug delivery, and closed-loop the...
Sweat, a biofluid rich in various biomarkers, offers significant potential for non-invasive health monitoring and disease screening. Colorimetric detection is well-suited for multi-analyte quantification and point-of-care testing in sweat analysis, w...
Neuroblastoma is an aggressive childhood cancer characterised by high relapse rates and heterogenicity. Current medical diagnostic methods involve an array of techniques, from blood tests to tumour biopsies. This process is associated with long-term ...
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