Smart graphene-based electrochemical nanobiosensor for clinical diagnosis
Highlights What are the main findings? Point-of-care diagnosis is crucial for management of
infectious diseases. Integration of nanotechnology into biosensing technology increases …
infectious diseases. Integration of nanotechnology into biosensing technology increases …
[HTML][HTML] CRISPR-based biosensor for the detection of Marburg and Ebola virus
Marburg Virus is one of the most neglected diseases that dated back to 1967. Prior to the
21st century, the outbreak of the virus was recorded trice, In 1967, 1998 and 2004. Accurate …
21st century, the outbreak of the virus was recorded trice, In 1967, 1998 and 2004. Accurate …
The application of deep learning for the segmentation and classification of coronary arteries
In recent years, the prevalence of coronary artery disease (CAD) has become one of the
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …
An optimized model based on deep learning and gated recurrent unit for COVID-19 death prediction
The COVID-19 epidemic poses a worldwide threat that transcends provincial, philosophical,
spiritual, radical, social, and educational borders. By using a connected network, a …
spiritual, radical, social, and educational borders. By using a connected network, a …
A Review of Artificial Intelligence in Education
Nowadays, cognitive qualities such as learning, adaptation, and decision-making are
present in computers, robots, and other artificially modified objects. This was made possible …
present in computers, robots, and other artificially modified objects. This was made possible …
COVID-19 Severity Prediction from Chest X-ray Images Using an Anatomy-Aware Deep Learning Model
NB Nizam, SM Siddiquee, M Shirin, MIH Bhuiyan… - Journal of Digital …, 2023 - Springer
The COVID-19 pandemic has been adversely affecting the patient management systems in
hospitals around the world. Radiological imaging, especially chest x-ray and lung Computed …
hospitals around the world. Radiological imaging, especially chest x-ray and lung Computed …
Recent Advances of Food Hazard Detection Based on Artificial Nanochannel Sensors
Y Xu, G Li, W Xu, Z Li, H Qu, J Cheng… - Journal of Agricultural …, 2024 - ACS Publications
Food quality and safety are related to the health and safety of people, and food hazards are
important influencing factors affecting food safety. It is strongly necessary to develop food …
important influencing factors affecting food safety. It is strongly necessary to develop food …
Smartphone-based device for point-of-care diagnostics of pulmonary inflammation using convolutional neural networks (CNNs)
In pulmonary inflammation diseases, like COVID-19, lung involvement and inflammation
determine the treatment regime. Respiratory inflammation is typically arisen due to the …
determine the treatment regime. Respiratory inflammation is typically arisen due to the …
Green Synthesis of Ceria Nanoparticles from Cassava Tubers for Electrochemical Aptasensor Detection of SARS-CoV-2 on a Screen-Printed Carbon Electrode
Green synthesis approaches for making nanosized ceria using starch from cassava as
template molecules to control the particle size are reported. The results of the green …
template molecules to control the particle size are reported. The results of the green …
Internet of Things Assisted Wireless Body Area Network Enabled Biosensor Framework for Detecting Ventilator and Hospital-Acquired Pneumonia
KM Abubeker, S Baskar, P Yadav - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Ventilator-associated pneumonia (VAP) and hospital-acquired pneumonia (HAP) are the
leading cause of death in intensive care units (ICUs) developed two days after endotracheal …
leading cause of death in intensive care units (ICUs) developed two days after endotracheal …