[HTML][HTML] Artificial intelligence (AI) and internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare
Artificial intelligence (AI) is a modern approach based on computer science that develops
programs and algorithms to make devices intelligent and efficient for performing tasks that …
programs and algorithms to make devices intelligent and efficient for performing tasks that …
Recent progress of smartphone-assisted microfluidic sensors for point of care testing
G Xing, J Ai, N Wang, Q Pu - TrAC Trends in Analytical Chemistry, 2022 - Elsevier
Point of care (POC) testing is of great importance in rapid diagnosis of disease, monitoring
environmental pollutants, food safety analysis and other fields, especially in resource-limited …
environmental pollutants, food safety analysis and other fields, especially in resource-limited …
Artificial intelligence biosensors for continuous glucose monitoring
X Jin, A Cai, T Xu, X Zhang - Interdisciplinary Materials, 2023 - Wiley Online Library
Artificial intelligence (AI) algorithms in combination with continuous monitoring technologies
have the potential to revolutionize chronic disease management. The recent innovations in …
have the potential to revolutionize chronic disease management. The recent innovations in …
Smartphone embedded deep learning approach for highly accurate and automated colorimetric lactate analysis in sweat
Here, a microfluidic paper-based analytical device (μPAD) was first combined with a deep
learning-based smartphone app called “DeepLactate” and then applied for quantitative and …
learning-based smartphone app called “DeepLactate” and then applied for quantitative and …
Electrochemical sensing of analytes in saliva: Challenges, progress, and perspectives
The detection of analytes in human saliva is an important task for real-life sensing device
applications, as well as a challenging issue due to its high viscosity and the presence of …
applications, as well as a challenging issue due to its high viscosity and the presence of …
Machine learning‐reinforced noninvasive biosensors for healthcare
The emergence and development of noninvasive biosensors largely facilitate the collection
of physiological signals and the processing of health‐related data. The utilization of …
of physiological signals and the processing of health‐related data. The utilization of …
[HTML][HTML] The emergence of AI-based wearable sensors for digital health technology: a review
Disease diagnosis and monitoring using conventional healthcare services is typically
expensive and has limited accuracy. Wearable health technology based on flexible …
expensive and has limited accuracy. Wearable health technology based on flexible …
[HTML][HTML] Nanozyme-based colorimetric biosensor with a systemic quantification algorithm for noninvasive glucose monitoring
Diabetes mellitus accompanies an abnormally high glucose level in the bloodstream. Early
diagnosis and proper glycemic management of blood glucose are essential to prevent …
diagnosis and proper glycemic management of blood glucose are essential to prevent …
Smartphone-based colorimetric detection systems for glucose monitoring in the diagnosis and management of diabetes
Diabetes is a group of metabolic conditions resulting in high blood sugar levels over
prolonged periods that affects hundreds of millions of patients worldwide. Measuring …
prolonged periods that affects hundreds of millions of patients worldwide. Measuring …
Recent advances in microfluidic paper-based assay devices for diagnosis of human diseases using saliva, tears and sweat samples
CC Tseng, CT Kung, RF Chen, MH Tsai… - Sensors and Actuators B …, 2021 - Elsevier
Microfluidic paper-based analysis devices (μPADs) have undergone tremendous
development in recent years and now provide a feasible low-cost alternative to traditional …
development in recent years and now provide a feasible low-cost alternative to traditional …