Latest AI and machine learning research in primary care for healthcare professionals.
Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, with high rates ...
Glioblastoma is the most aggressive primary brain tumor, with poor prognosis following initial ident...
Metabolic syndrome (MetS) is related to non-communicable diseases (NCDs) such as type 2 diabetes (T2...
The use of artificial intelligence (AI) in pediatric and adolescent medicine offers numerous possibi...
The historical development of artificial intelligence (AI) in healthcare since the 1960s shows a tra...
AIM: To evaluate different tools to screen for periodontal diseases and/or evaluate the risk for dis...
Screening chemicals using the zebrafish embryo developmental toxicity assay requires visual assessme...
11β-Hydroxysteroid dehydrogenase type 1 (11β-HSD1) has been shown to play an important role in the t...
BACKGROUND AND OBJECTIVE: Diabetes is a chronic disease characterised by a high risk of developing d...
AIMS: A precision medicine approach in type 2 diabetes (T2D) needs to consider potential treatment r...
Adverse events such as compulsory measures, absconding, illicit substance use, self-harm, aggressive...
BACKGROUND: Most forms of obesity are associated with chronic diseases that remain a global public h...
PI3Kγ is a lipid kinase that is expressed primarily in leukocytes and plays a significant role in tu...
Antimicrobial peptides (AMPs) are small molecular peptides that widely exist in organisms to resist ...
This systematic review aims to assess the effectiveness of AI-Driven Decision Support Systems in imp...
Dental caries is one of the most prevalent chronic diseases among both children and adults, despite ...
Chronic kidney disease (CKD) poses a significant risk for diabetes patients, often leading to severe...
PURPOSE: In knee osteoarthritis (KOA) treatment, preventive measures to reduce its onset risk are a ...
Focal Adhesion Kinase (FAK) is a non-receptor tyrosine kinase that plays a crucial role in cell prol...
The discovery of ultraincompressible, superhard materials is constrained by the high computational c...
Machine learning (ML) models for screening carcinogenic chemicals are critical for the sound managem...