Latest AI and machine learning research in prescriptions for healthcare professionals.
Accurate identification of molecular interactions is crucial for biological network analysis, which ...
The safety of pedestrians in urban transportation systems has emerged as a significant research topi...
New drug discovery has always been a costly, time-consuming process with a high failure rate. Repurp...
Polymeric drug delivery systems (PDDS) play a crucial role in controlled drug release, providing imp...
Gesture interaction applications have garnered significant attention from researchers in the field o...
Invasive coronary angiography (ICA) is the gold standard imaging modality during cardiac interventio...
BACKGROUND: Recent studies have shown deep learning techniques are able to predict three-dimensional...
Artificial intelligence (AI) has become a pivotal tool for medical image analysis, significantly enh...
Accurate computational determination of RNA-protein interactions remains challenging, particularly w...
The ethical dimensions of human-AI (artificial intelligence) interaction demand attention. As artifi...
New drug development is a very challenging, expensive, and usually time-consuming process. This issu...
This paper investigates the integration of affective computing techniques using biophysical data to ...
Approximately 50% of Alzheimer's disease (AD) patients develop psychotic symptoms, leading to a subt...
To develop and validate an artificial intelligence (AI)-driven tool for the automatic segmentation o...
When the beetle lands on the target, the hind wings fold regularly to form smaller wing packages and...
Accurate three-dimensional (3D) segmentation of hepatic vascular networks is crucial for supporting ...
BACKGROUND: Online health communities (OHCs) enable people with long-term conditions (LTCs) to excha...
INTRODUCTION: Adverse drug reactions (ADRs) significantly impact healthcare systems, leading to incr...
Antimicrobial stewardship programs (ASPs) are essential in optimizing the use of antibiotics to addr...
Drug function prediction is a crucial task in drug discovery, design, and development, which involve...
The current standard method for the analysis of potential drug-drug interactions (pDDIs) is time-con...