Latest AI and machine learning research in critical care for healthcare professionals.
This study aims to develop a Machine Learning model to assess the risks faced by COVID-19 patients i...
In this study, a high-throughput point-of-care testing (HT-POCT) system for detecting serum iron was...
Inspired by the brain's information processing using binary spikes, spiking neural networks (SNNs) o...
Accurate identification of drug-target interactions (DTIs) plays a crucial role in drug discovery. C...
Breast cancer (BC) is a type of cancer which progresses and spreads from breast tissues and graduall...
Intelligent Transportation Systems (ITS) are essential for modern urban development, with urban flow...
This study focuses on modelling sustainable concretes' mechanical and environmental properties with ...
Although bioinformatics-based methods accurately identify SEs (Super-enhancers), the results depend ...
OBJECTIVE: The objective was to establish a machine learning-based model for predicting the occurren...
The widespread prevalence of sleep problems in children highlights the importance of timely and accu...
Many studies have shown that infectious diseases are responsible for the majority of deaths in child...
The COVID-19 outbreak caused saturations of hospitals, highlighting the importance of early patient ...
Accurate prediction of anticancer drug responses is essential for developing personalized treatment ...
OBJECTIVE: Myasthenic crisis (MC) is a critical progression of Myasthenia gravis (MG), requiring int...
Unsupervised domain adaptation techniques improve the generalization capability and performance of d...
Positron emission tomography (PET) utilizes radiotracers like [F]fluorodeoxyglucose (FDG) to measure...
BACKGROUND: Stroke leads to reduced mobility and functional capacity, also negatively affects respir...
BACKGROUND: COVID-19 vaccination has become a pivotal global strategy in managing the pandemic. Desp...
BACKGROUND: Adequate delivery of hemodialysis (HD), measured by the spKt/V derived from urea reducti...
Binarized convolutional neural networks (bCNNs) are favored for the design of low-storage, low-power...
One of the precursors of lung cancer is the presence of lung nodules, and accurate identification of...