Role of machine learning assisted biosensors in point-of-care-testing for clinical decisions
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 …
healthcare, providing rapid, low-cost, and simple diagnostic options. The integration of …
Exploiting machine learning for bestowing intelligence to microfluidics
Intelligent microfluidics is an emerging cross-discipline research area formed by combining
microfluidics with machine learning. It uses the advantages of microfluidics, such as high …
microfluidics with machine learning. It uses the advantages of microfluidics, such as high …
Biocompatible wearable electrodes on leaves toward the on-site monitoring of water loss from plants
JA Barbosa, VMS Freitas, LHB Vidotto… - … Applied Materials & …, 2022 - ACS Publications
Impedimetric wearable sensors are a promising strategy for determining the loss of water
content (LWC) from leaves because they can afford on-site and nondestructive quantification …
content (LWC) from leaves because they can afford on-site and nondestructive quantification …
Modular label-free electrochemical biosensor loading nature-inspired peptide toward the widespread use of COVID-19 antibody tests
Limitations of the recognition elements in terms of synthesis, cost, availability, and stability
have impaired the translation of biosensors into practical use. Inspired by nature to mimic …
have impaired the translation of biosensors into practical use. Inspired by nature to mimic …
Using machine learning and an electronic tongue for discriminating saliva samples from oral cavity cancer patients and healthy individuals
The diagnosis of cancer and other diseases using data from non-specific sensors–such as
the electronic tongues (e-tongues)-is challenging owing to the lack of selectivity, in addition …
the electronic tongues (e-tongues)-is challenging owing to the lack of selectivity, in addition …
[HTML][HTML] Where artificial intelligence stands in the development of electrochemical sensors for healthcare applications-A review
The electrochemical sensor (E-sensors) market trends have identified the biomedical
applications as a significant market growth with impact on personalized therapy. Given the …
applications as a significant market growth with impact on personalized therapy. Given the …
Sensors for detection of production chemicals and oil in produced water
AM Pasqualeti, FM Shimizu, LP de Oliveira… - TrAC Trends in …, 2023 - Elsevier
The oil and gas industry produces millions of barrels of crude oil and a byproduct called"
produced water" daily. Unfortunately, this waste product is harmful to the environment …
produced water" daily. Unfortunately, this waste product is harmful to the environment …
Heavy metals detection at chemometrics-powered electrochemical (bio) sensors
Heavy metals represent a serious issue regarding both environmental and health status.
Their monitoring is necessary and it is necessary the development of decentralized …
Their monitoring is necessary and it is necessary the development of decentralized …
Fluorescent conjugated microporous polymer (CMP) derived sensor array for multiple Organic/Inorganic contaminants detection
R Gao, W Zhao, Q Qiu, A **e, S Cheng, Y Jiao… - Sensors and Actuators B …, 2020 - Elsevier
The development of fluorescent sensors for highly sensitive detection of multiple
environmental contaminants is highly promising, but still remains to be a challenge up to …
environmental contaminants is highly promising, but still remains to be a challenge up to …
Converging multidimensional sensor and machine learning toward high-throughput and biorecognition element-free multidetermination of extracellular vesicle …
Extracellular vesicles (EVs) are a frontier class of circulating biomarkers for the diagnosis
and prognosis of different diseases. These lipid structures afford various biomarkers such as …
and prognosis of different diseases. These lipid structures afford various biomarkers such as …