Latest AI and machine learning research in alternative medicine for healthcare professionals.
Molecular dynamics (MD) simulations have emerged as pivotal tools for deciphering the molecular mechanisms of Traditional Chinese Medicine (TCM), yet a comprehensive analysis of their global impact has not been conducted. We conducted a 20-year bibliometric analysis (2006-2025 December 31) of 6054 publications from the Web of Science Core Collection, Scopus and CNKI employing R packages and VOSvie...
Carpal tunnel syndrome (CTS), the most prevalent entrapment neuropathy of the upper extremities, presents diagnostic challenges due to nonspecific clinical symptoms and discrepancies between subjective experiences and objective findings. Traditional reliance on electrodiagnostic studies (EDX), including nerve conduction studies (NCS) and electromyography, as the traditional reference method for as...
BACKGROUND: Helicobacter pylori (H. pylori) infection and atrial fibrillation(AF) are major global health concerns. Emerging evidence has suggested a ...
INTRODUCTION: Feature selection plays a crucial role in improving predictive performance and interpretability in high-dimensional machine learning tas...
The incorporation of illegal drugs into e-cigarettes poses significant threats to both human health and societal safety. Therefore, the development of...
Ulcerative colitis (UC), a chronic inflammatory bowel disorder characterized by progressive colonic inflammation, presents escalating global incidence...
Social insect pollinators, such as bumblebees, face increasing threats from environmental agrochemicals; yet the sublethal effects of these compounds ...
Drug-drug interactions (DDIs) are a major cause of preventable adverse drug reactions, yet experimental screening cannot keep pace with the growing nu...
BACKGROUND: Rare diseases affect more than 300 million people globally, and only about 5% have approved therapies. Lysosomal storage disorders (LSDs) ...
BACKGROUND: Artificial intelligence-enabled ambient speech recognition technology is an emerging innovation poised to transform how nurses care for an...
Herbs have long been integral to various health and medicinal benefits. Identifying the correct herb species from thousands of diverse options is a la...
BACKGROUND/AIM: Cisplatin resistance remains a major obstacle in advanced gastric cancer (GC). This study aimed to identify key molecular determinants...
While deep learning has been successfully applied to the data-driven classification of anomalous diffusion mechanisms, how the algorithm achieves the ...
Accurate diagnosis of odontogenic lesions requires pre-operative cone-beam computed tomography (CBCT) and post-operative histopathological confirmatio...
There have been several attempts to develop machine learning (ML) models to identify human infecting viruses from their genomic sequences, with varyin...
Artificial intelligence (AI) is increasingly integrated into audiology and hearing health, yet evidence from across the health sciences shows that AI ...
The growing global demand for food production, coupled with the increasing threat of plant diseases, necessitates advanced and automated solutions for...
Gunshot residue pattern assessment can support forensic reconstruction, particularly for shooting distance evaluation, but commonly used approaches ma...
PURPOSE: Colorectal liver metastases (CRLM) are a leading cause of mortality in patients with colorectal cancer. While surgical resection is the stand...
We present the W1-SN2-BH database, a large-scale kinetic benchmark set of all-electron CCSD(T)/CBS reference barrier heights for 1881 nucleophilic sub...