Latest AI and machine learning research in prescriptions for healthcare professionals.
INTRODUCTION: None of the studies of type 2 diabetes (T2D) subtyping to date have used linked popula...
OBJECTIVES: Artificial intelligence (AI) has shown promise in improving the performance of fetal ult...
Fungicide mixtures are an effective strategy in delaying the development of fungicide resistance. In...
The end-to-end process in the discovery of drugs involves therapeutic candidate identification, vali...
Lesion segmentation is a fundamental step for the diagnosis of acute ischemic stroke (AIS). Non-cont...
Electroencephalogram (EEG) is one of the most widely used brain computer interface (BCI) approaches....
To construct a prediction model of olfactory dysfunction after transnasal sellar pituitary tumor res...
Individual may response to drug treatment differently due to their genetic variants located in enhan...
Many cardiac diseases, such as arrhythmia or cardiogenic shock, cause irregular beating patterns tha...
In order to predict the anti-trypanosome effect of carbazole-derived compounds by quantitative struc...
The application of machine learning (ML) to solve real-world problems does not only bear great poten...
Block copolymers, composed of poly(2-oxazoline)s and poly(2-oxazine)s, can serve as drug delivery sy...
Deep learning neural networks are often described as black boxes, as it is difficult to trace model ...
Recent research has focused extensively on employing Deep Learning (DL) techniques, particularly Con...
Biomolecular interaction recognition between ligands and proteins is an essential task, which largel...
Artificial intelligence (AI) and high-content imaging (HCI) are contributing to advancements in drug...
BACKGROUND: To combat the opioid epidemic, several strategies were implemented to limit the unnecess...
Nowadays, Deep Learning (DL) techniques are being used to automate the identification and diagnosis ...
This study develops a comprehensive robotic system, termed the robot cognitive system, for complex e...
In Europe, concentrations of ∆-tetrahydrocannabinol (THC) in cannabis resin (also known as hash) hav...
Recently, explainability in machine and deep learning has become an important area in the field of r...