[HTML][HTML] Artificial intelligence (AI) and internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare

P Manickam, SA Mariappan, SM Murugesan, S Hansda… - Biosensors, 2022 - mdpi.com
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 …

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 …

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 …

Smartphone embedded deep learning approach for highly accurate and automated colorimetric lactate analysis in sweat

E Yüzer, V Doğan, V Kılıç, M Şen - Sensors and Actuators B: Chemical, 2022 - Elsevier
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 …

Electrochemical sensing of analytes in saliva: Challenges, progress, and perspectives

AG Cardoso, H Viltres, GA Ortega, V Phung… - TrAC Trends in …, 2023 - Elsevier
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 …

Machine learning‐reinforced noninvasive biosensors for healthcare

K Zhang, J Wang, T Liu, Y Luo, XJ Loh… - Advanced Healthcare …, 2021 - Wiley Online Library
The emergence and development of noninvasive biosensors largely facilitate the collection
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

S Shajari, K Kuruvinashetti, A Komeili, U Sundararaj - Sensors, 2023 - mdpi.com
Disease diagnosis and monitoring using conventional healthcare services is typically
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

HJ Jeon, HS Kim, E Chung, DY Lee - Theranostics, 2022 - ncbi.nlm.nih.gov
Diabetes mellitus accompanies an abnormally high glucose level in the bloodstream. Early
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

Ö Kap, V Kılıç, JG Hardy, N Horzum - Analyst, 2021 - pubs.rsc.org
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 …

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 …