Acta microbiologica et immunologica Hungarica
Oct 21, 2025
Antibiotic-associated diarrhea (AAD) is a prevalent iatrogenic complication of antibiotic therapy, primarily triggered by dysbiosis and loss of intestinal homeostasis. The traditional interventions, such as empirical probiotic use, have shown a modes...
BACKGROUND: BrainAge models estimate the biological age of the brain using neuroimaging or clinical features, making them promising tools for studying neurodegenerative diseases like Alzheimer's disease. However, the reliance of BrainAge models on ne...
Biochemical and biophysical research communications
Oct 21, 2025
BACKGROUND: Bicuspid aortic valve (BAV), the most common congenital heart defect, is strongly predisposed to early calcification, yet the molecular drivers remain poorly defined. This study aims to identify the functional role of transient receptor p...
Di (2-ethylhexyl) phthalate (DEHP), a widely used plasticizer with known immunotoxic effects, has been suspected of aggravating inflammatory skin conditions, yet its role in autoimmune diseases such as psoriasis remains poorly defined. In this study,...
In the United States, most people get their drinking water from public water systems, whose quality is regulated by the Safe Drinking Water Act; however, an estimated 40 million people rely on unregulated private wells. In Massachusetts ∼500,000 peop...
The ability to pinpoint and predict sites of metabolism (SoMs) is essential for designing and optimizing effective and safe bioactive small molecules. However, the number of molecules with annotated SoMs is limited, hindering the advancement of data-...
Journal of public health management and practice : JPHMP
Oct 21, 2025
CONTEXT: Predictive modeling can identify neighborhoods at elevated risk of future overdose death and may assist community organizations' decisions about harm reduction resource allocation. In Rhode Island, PROVIDENT is a research initiative and rand...
Integrating artificial intelligence into psychological research represents a significant direction in contemporary psychology. Utilizing supervised and unsupervised machine learning techniques can further aid in understanding the nonlinear relationsh...
Traditional track and field education relies heavily on subjective assessment and manual feedback systems, creating critical barriers to personalized instruction in large-scale educational settings. This study presents a novel machine learning framew...
To quantitatively measure the volume of white matter hyperintensities (WMHs) in different parts of the brain in patients with different types of cognitive function and analyze the relationship between WMH volume and cognitive function to obtain a thr...
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