Latest AI and machine learning research in alternative medicine for healthcare professionals.
Pemphigus vulgaris (PV) is a rare autoimmune blistering disease mediated by pathogenic autoantibodies. Although both HLA and non-HLA loci contribute to disease susceptibility, their combined roles in immune regulation remain incompletely understood. This study investigated the joint contribution of HLA-DRB1 and FCGR2B variants to PV susceptibility within an integrative immunogenetic framework. Gen...
Low back pain (LBP) is one of the most prevalent musculoskeletal disorders and often shows poor recovery. Although symptom persistence is multifactorial, trunk motor control changes are frequently observed and suggested to result from reorganisation of motor neural networks. Understanding these mechanisms may help guide more effective interventions. This systematic review with meta-analysis (PROSP...
A correct emergence profile is fundamental for achieving a natural result to transition from an implant with a circular neck to a cervical area that r...
Large language models (LLMs) represent a rapidly advancing subset of artificial intelligence with significant potential to augment clinical practice. ...
BACKGROUND: Necroptosis has emerged as a critical regulator in tumor progression and therapeutic response, yet its prognostic significance and influen...
SCOPE: The 2017 European Committee on Antimicrobial Susceptibility Testing (EUCAST) subcommittee report on the role of Whole Genome Sequencing (WGS) i...
OBJECTIVES: To develop a multi-task deep learning model for the automated quality control of periapical radiographs, integrating identification of tec...
PURPOSE: To investigate the long-term optical properties of CAD/CAM resin-matrix-ceramics (RMCs) under thermocycling and further predict esthetic alte...
Currently, artificial intelligence (AI) is clinically relevant to mood and anxiety care, but the evidence base is uneven across use cases. This narrat...
OBJECTIVE: Dysregulation of Cholesterol homeostasis(CH) and NK cells proportion can increase risk of ST-Elevated Myocardial Infarction(STEMI) for Coro...
BACKGROUND: Learning health systems (LHSs) aim to integrate continuous learning into routine care, yet their development raises persistent ethical cha...
To develop and evaluate MultiDentNet, a unified deep learning framework for multi-class dental condition screening and preliminary risk stratification...
Retinal inflammation is a key determinant of visual prognosis in uveitis, yet its assessment on fluorescein angiography remains subjective, labor-inte...
This study presents a novel integrative approach for the analysis of high-dimensional gene expression data, leveraging the complementary strengths of ...
Skin cancer is a potentially fatal disease that requires early and accurate diagnosis to improve patient outcomes. Deep learning has shown promise in ...
BACKGROUND: Systematic reviews and meta-analyses represent the highest level of evidence in clinical research, but the process of article retrieval an...
ETHNOPHARMACOLOGICAL RELEVANCE: Dilong, the dried body of Pheretima aspergillum, is a classic traditional Chinese medicine that has been clinically us...
Accurate protein function annotation remains a major challenge in computational biology because the growth of protein sequence and structural database...
The integration of multiferroic materials into complementary metal-oxide-semiconductor (CMOS) technology presents an exciting frontier in nanoelectron...
BACKGROUND: The integration of Artificial Intelligence (AI) in providing quality dental care to individuals with special needs has been scarcely explo...