Latest AI and machine learning research in primary care for healthcare professionals.
To prevent chronic disease from getting worse, it is important to detect and predict it at an early ...
OBJECTIVES: This study aimed to compare the performance of five machine learning algorithms to predi...
This manuscript examines the expanding role of population health strategies in neurology, emphasizin...
BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common chronic complication of diabetes, marke...
For people with Type 1 diabetes (T1D), accurate blood glucose (BG) forecasting is crucial for the ef...
Diagnosis of polycystic ovary syndrome remains a challenge. In this study, we propose constructing a...
Hand-foot skin reaction (HFSR) is a common adverse effect of vascular endothelial growth factor rece...
RNAs are a vast reservoir of untapped drug targets. Structure-based virtual screening (VS) identifie...
INTRODUCTION: Epigenetic biomarkers are molecular indicators of epigenetic changes, and some studies...
Deciphering the complex relationships between cellular morphology and phenotypic manifestations is c...
Glaucoma is the leading cause of irreversible vision impairment, emphasizing the critical need for e...
Viral diseases pose a significant threat to the sustainability of global aquaculture, causing econom...
Articular cartilage, essential for smooth joint movement, can sustain micrometer-scale microcracks i...
BACKGROUND: Medication adherence plays a crucial role in determining the health outcomes of patients...
AIM: To comprehensively review digital technologies (including artificial intelligence, AI) for peri...
OBJECTIVE: To investigate potentially novel and modifiable mechanisms of the effects of gut microbio...
Macrovascular complications, including stroke, cardiovascular disease (CVD), and peripheral vascular...
Almost one in four critically ill patients suffer from intra-abdominal hypertension (IAH). Currently...
Comorbid cardiovascular and metabolic risk factors (CVM) differentially impact brain structure and i...
Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are crucial non-coding RNAs involved in variou...
Clinicians spend large amounts of time on clinical documentation, and inefficiencies impact quality ...