Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Spiking neural networks (SNNs), which transmit information through binary spikes, have the advantage...
Drug-Drug Interactions (DDI) identification is a part of the drug safety process, that focuses at av...
Accurate teeth delineation on 3-D dental models is essential for individualized orthodontic treatmen...
RATIONALE AND OBJECTIVES: Cognitive decline is common in End-Stage Renal Disease (ESRD) patients, ye...
Chronic kidney disease-mineral bone disorder is a common complication in patients with chronic kidne...
Underrepresented groups (URGs) in the United States, including African Americans, Latino/Hispanic Am...
Student dropout is a significant social issue with extensive implications for individuals and societ...
Braking energy recovery is crucial for improving the energy efficiency and extending the range of el...
Current surface electromyography (sEMG) methods for locomotion mode prediction face limitations in a...
This study introduces an innovative approach combining deep-learning techniques with classical physi...
Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via ...
This study investigated the potential of dietary gamma-aminobutyric acid (GABA) inclusion to mitigat...
The optimization of absorption, distribution, metabolism, and excretion (ADME) profiles of compounds...
Despite the similar global structures in Chest X-ray (CXR) images, the same anatomy exhibits varying...
The identification of drug-target interactions (DTIs) is an essential step in drug discovery. In vit...
Diagnosis prediction predicts which diseases a patient is most likely to suffer from in the future b...
Heavy metal contamination in soil is a major environmental and public health concern, especially in ...
Applications of Artificial Intelligence (AI) are revolutionizing biomedical research and healthcare ...
Transforming smart meter data captured at low-resolution litre intervals of 15 to 60 mins into resid...
The purpose of this article is to evaluate the application of artificial intelligence (AI) from the ...
sEMG is a non-invasive biomedical engineering technique that can detect and record electrical signal...