Role of machine learning assisted biosensors in point-of-care-testing for clinical decisions

M Bhaiyya, D Panigrahi, P Rewatkar, H Haick - ACS sensors, 2024 - ACS Publications
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 …

[HTML][HTML] The convergence of traditional and digital biomarkers through AI-assisted biosensing: A new era in translational diagnostics?

SS Arya, SB Dias, HF Jelinek, LJ Hadjileontiadis… - Biosensors and …, 2023 - Elsevier
Advances in consumer electronics, alongside the fields of microfluidics and nanotechnology
have brought to the fore low-cost wearable/portable smart devices. Although numerous …

Machine learning and chemometrics for electrochemical sensors: moving forward to the future of analytical chemistry

P Puthongkham, S Wirojsaengthong, A Suea-Ngam - Analyst, 2021 - pubs.rsc.org
Electrochemical sensors and biosensors have been successfully used in a wide range of
applications, but systematic optimization and nonlinear relationships have been …

Machine learning toward high-performance electrochemical sensors

GF Giordano, LF Ferreira, ÍRS Bezerra… - Analytical and …, 2023 - Springer
The so-coined fourth paradigm in science has reached the sensing area, with the use of
machine learning (ML) toward data-driven improvements in sensitivity, reproducibility, and …

[HTML][HTML] Where artificial intelligence stands in the development of electrochemical sensors for healthcare applications-A review

A Cernat, A Groza, M Tertis, B Feier… - TrAC Trends in …, 2024 - Elsevier
The electrochemical sensor (E-sensors) market trends have identified the biomedical
applications as a significant market growth with impact on personalized therapy. Given the …

Empowerment of AI algorithms in biochemical sensors

Z Zhou, T Xu, X Zhang - TrAC Trends in Analytical Chemistry, 2024 - Elsevier
Biochemical sensors have become indispensable tools for real-time, on-site monitoring and
analysis in diverse domains such as healthcare, environmental protection, and food safety …

Improving the selectivity in electrochemical detection of chloramphenicol against metronidazole with machine learning

Y Xu, Z Rao, Z Liu, W Zheng, Y Zhou, N Lu… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
In electrochemical sensing, the selectivity could be low if the analyte and interference
species share similar redox potentials. This is a limiting factor in electrochemical detection of …

Feature engineering and machine learning for electrochemical detection of rabies virus in graphene-based biosensors

R Challhua, R Prati, A Champi - Microchemical Journal, 2024 - Elsevier
Electrochemical biosensors are small analytical devices that convert a biological response
into a processable signal with high sensitivity, ease of operation, cost-effectiveness, and …

Machine learning-guided anesthesiology: A review of recent advances and clinical applications

S Hashemi, Z Yousefzadeh, AA Abin… - Journal of Cellular & …, 2024 - brieflands.com
: Anesthesia is the process of inducing and experiencing various conditions, such as
painlessness, immobility, and amnesia, to facilitate surgeries and other medical procedures …

Cytochrome P450 2B6 amperometric biosensor for continuous monitoring of propofol

DC Ferrier, J Kiely, R Luxton - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Despite the growing evidence of improved patient outcomes and of a substantially reduced
environmental impact of propofol-based total intravenous anesthesia when compared to …