[HTML][HTML] The Aging Process: A Metabolomics Perspective

A Castro, ÉF Signini, JM De Oliveira… - Molecules, 2022 - mdpi.com
Aging process is characterized by a progressive decline of several organic, physiological,
and metabolic functions whose precise mechanism remains unclear. Metabolomics allows …

An exploration on the machine-learning-based stroke prediction model

S Zhi, X Hu, Y Ding, H Chen, X Li, Y Tao… - Frontiers in Neurology, 2024 - frontiersin.org
Introduction With the rapid development of artificial intelligence technology, machine
learning algorithms have been widely applied at various stages of stroke diagnosis …

[HTML][HTML] eHealth profile of patients with diabetes

M Jendly, V Santschi, S Tancredi… - Frontiers in Public …, 2023 - frontiersin.org
Background Digital health technology can be useful to improve the health of patients with
diabetes and to support patient-centered care and self-management. In this cross-sectional …

[HTML][HTML] Lipotoxicity in a Vicious Cycle of Pancreatic Beta Cell Exhaustion

V Grubelnik, J Zmazek, M Završnik, M Marhl - Biomedicines, 2022 - mdpi.com
Hyperlipidemia is a common metabolic disorder in modern society and may precede
hyperglycemia and diabetes by several years. Exactly how disorders of lipid and glucose …

[HTML][HTML] Profiling of patients with type 2 diabetes based on medication adherence data

R Markovič, V Grubelnik, T Završnik… - Frontiers in public …, 2023 - frontiersin.org
Introduction Type 2 diabetes mellitus (T2DM) is a complex, chronic disease affecting
multiple organs with varying symptoms and comorbidities. Profiling patients helps identify …

[PDF][PDF] Evaluation of GRHPR Enzyme and some Biochemical Variables in Patients with Calcium Oxalate Kidney Stone Disease

DAA Alzubaidy, LHA Al Obaidy - Ibn AL-Haitham Journal For Pure and …, 2024 - iasj.net
Kidney stone disease is a highly significant clinical issue that poses a serious threat to both
global health and the economy. For the sustainability of good health and well-being of …