Latest AI and machine learning research in preventive care for healthcare professionals.
This study investigates public sentiment toward COVID-19 vaccinations by analyzing Twitter data usin...
Highland barley has shown potential in regulating blood glucose and may serve as a natural source of...
Artificial intelligence (AI) and digital health (DH) solutions are reshaping musculoskeletal (MSK) c...
BACKGROUND: The D-elution (DEL) phenotype is serologically mislabeled as Rh-negative because of the ...
OBJECTIVES: Sarcopenia imposes significant morbidity and economic burden on health care systems, und...
BACKGROUND: Artificial intelligence (AI) has revolutionized the field of gastroenterology, particula...
INTRODUCTION: Data-driven omics approaches have rapidly advanced our understanding of the molecular ...
Drug repurposing presents a promising strategy to accelerate drug discovery by identifying new thera...
The self-aggregation of amyloid-β (Aβ) into fibrils is a hallmark of Alzheimer's disease (AD). Inhib...
The search for stable, lead-free perovskite materials is critical for developing efficient and envir...
INTRODUCTION: Technological advances and artificial intelligence now make it feasible to administer ...
Cervical cancer is one of the most common cancers in women. Despite progress in prevention and succe...
INTRODUCTION: Machine learning (ML) has become increasingly pivotal in health care, particularly in ...
BACKGROUND: Juvenile idiopathic arthritis (JIA) is a prevalent chronic rheumatological condition in ...
OBJECTIVES: Decades of clinical and fundamental research advancements in oncology have led to signif...
BACKGROUND: Systematic reviews (SRs) require substantial time and human resources, especially during...
BACKGROUND: Due to the lack of appropriate diagnostic biomarkers and intervention targets, the diagn...
Dipeptidyl peptidase-4 (DPP-4) inhibitors play a critical role in the management of type 2 diabetes;...
: Breast cancer remains one of the leading causes of mortality among women worldwide, highlighting t...
OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model utilizing cerebro...
INTRODUCTION: Optical diagnosis is an essential part of a high-quality colonoscopy, but highly exper...