Latest AI and machine learning research in primary care for healthcare professionals.
Early diagnosis of sacroiliitis may lead to preventive treatment which can significantly improve the...
To understand the pathophysiology of complex diseases, including hypertension, diabetes, and autism,...
BACKGROUND: Previous research has implicated demographic, psychological, behavioral, and cognitive v...
Background and Purpose- Discrimination of the stability of intracranial aneurysms is critical for de...
Xiaoxuming decoction (XXMD), a classic traditional Chinese medicine (TCM) prescription, has been use...
In this study we demonstrate the analysis of biochemical changes in the human blood sera infected wi...
Accurate medical disease diagnosis is considered to be an important classification problem. The main...
BACKGROUND: Experimental studies have shown fibroblast growth factor 23 FGF23)-mediated upregulation...
Although algebraic graph theory-based models have been widely applied in physical modeling and molec...
BACKGROUND: Maturity Onset Diabetes of the Young (MODY) is a type of diabetes that results from muta...
Machine learning plays an important role in ligand-based virtual screening. However, conventional ma...
BACKGROUND AND OBJECTIVE: Retinal fundus images are widely used to diagnose retinal diseases and can...
Cell state-specific promoters constitute essential tools for basic research and biotechnology becaus...
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic cont...
Osteoporosis a major public health problem of the elderly, is associated with substantial morbidity ...
Forms of Artificial Intelligence (AI), like deep learning algorithms and neural networks, are being ...
OBJECTIVE: To investigate a fully automated abdominal CT-based muscle tool in a large adult screenin...
The establishment of new therapeutic strategies for metabolic syndrome is urgently needed because me...
Affordable and physiologically relevant three-dimensional (3D) cell-based assays used in high-throug...
Background Computational models on the basis of deep neural networks are increasingly used to analyz...
Remote and automated healthcare management has shown the prospective to significantly impact the fut...