S. Shilbayeh

Non-Invasive Prediction of Metabolic Syndrome Using Explainable Machine Learning

Background: Metabolic syndrome (MetS) is a complex health problem significantly associated with cardiovascular diseases and type 2 diabetes mellitus. Traditional diagnostic approaches rely on invasive biochemical markers, which limit their accessibility. Here, we developed an explainable machine learning (ML) framework...

CSF neuroinflammatory biomarkers are associated with amyloid-β42/40, tau pathology, and cognitive impairment across the Alzheimer’s disease spectrum

Gastrodin mitigates cisplatin-induced cardiotoxicity in Swiss albino mice by restoring redox homeostasis and modulating the p62–Keap1–Nrf2 Axis

Leveraging immunoinformatic techniques for the development of a multi-epitope subunit vaccine targeting virulence-associated proteins of Mycobacterium tuberculosis

Among infectious diseases, tuberculosis is the biggest cause of death worldwide. Thus, controlling TB, a global epidemic, is a major public health concern on a worldwide scale. According to epidemiological modelling, a new vaccination that can prevent TB, especially in adults and adolescents, is necessary to control...

Lack of Association between the Cytochrome P450 4F2 rs2108622 Genotype and Responses to Valsartan and Amlodipine among a Sample of Jordanian Hypertensive Patients.

There is a lack of association between the CYP4F2 rs2108622 genotype and valsartan and amlodipine responses among a sample of Jordanians with essential hypertension, and the absence of statistical significance supports the need for larger pharmacogenetic studies.