Latest AI and machine learning research in prescriptions for healthcare professionals.
Safety during drug administration remains a major concern in nursing, particularly when it comes to ...
The application of computational biology in drug development for membrane protein targets has experi...
Poly-drug therapy is now recognized as a crucial treatment, and the analysis of drug-drug interactio...
Personalized medicine can reduce adverse effects, enhance drug efficacy, and optimize treatment outc...
BACKGROUND: Freezing of gait (FOG) is an episodic and highly disabling symptom of Parkinson's Diseas...
The most widely practiced strategy for constructing the deep learning (DL) prediction model for drug...
The main goal of this research is the interpretability of deep learning (DL) model output (e.g., CNN...
AIMS: Monitoring drug safety in real-world settings is the primary aim of pharmacovigilance. Frequen...
The complex molecular mechanism and pathophysiology of Alzheimer's disease (AD) limits the developme...
OCCUPATIONAL APPLICATIONSIndustrial robots have become an important aspect in modern industry. In th...
Protein-protein interactions (PPIs) are pivotal for driving diverse biological processes, and any di...
BACKGROUND: An adverse drug event (ADE) is any unfavorable effect that occurs due to the use of a dr...
Vegetation in East Antarctica, such as moss and lichen, vulnerable to the effects of climate change ...
The growth in breadth and depth of artificial intelligence (AI) applications has been fast, running ...
Medical image segmentation algorithms based on deep learning have achieved good segmentation results...
Accurately identifying potential drug-target interactions (DTIs) is a critical step in accelerating ...
Computational drug repositioning can identify potential associations between drugs and diseases. Thi...
Personalized diagnosis prediction based on electronic health records (EHR) of patients is a promisin...
Phosphoinositide 3-kinase alpha (PI3Kα) is one of the most frequently dysregulated kinases known for...
The field of animal-robot and organism-robot interaction systems (ARIS, ORIS) is a currently rapidly...
The application of artificial intelligence and machine learning methods for several biomedical appli...