Latest AI and machine learning research in primary care for healthcare professionals.
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...
Artificial intelligence (AI)-enabled technologies have the potential to significantly increase diagn...
The search for stable, lead-free perovskite materials is critical for developing efficient and envir...
Diabetes is a growing chronic disease with complications that impose a significant burden on healthc...
Pulmonary hypertension is a progressive condition characterized by increased pulmonary vascular pres...
INTRODUCTION: Technological advances and artificial intelligence now make it feasible to administer ...
Artificial intelligence (AI)-ECG-derived age (AI-ECG age) and Heart Delta Age (HDA)-the difference b...
Growing rates of chronic wound occurrence, especially in patients with diabetes, has become a recent...
Artificial intelligence (AI) and machine learning (ML) are transforming cervical cancer research and...
Advances in diabetes technologies such as continuous glucose monitoring (CGM) have provided signific...
Chronic thromboembolic pulmonary hypertension (CTEPH) is a potentially life-threatening condition, c...
Cervical cancer is one of the most common cancers in women. Despite progress in prevention and succe...
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;...
OBJECTIVES: This study aimed to develop and validate a machine learning (ML) model utilizing cerebro...
OBJECTIVES: This work aimed to develop an automated method for quantifying the distribution and seve...
Our study aims to improve the prediction performance of machine learning (ML) models by addressing f...