Results 211 to 220 of about 171,953 (311)

Peripheral blood cell counts as correlates of insulin sensitivity in children and youth with type 1 diabetes: A retrospective study from western India. [PDF]

open access: yesEndocrine
Khandagale S   +10 more
europepmc   +1 more source

Bisphenol M Induces Dose‐Dependent Hepatic Injury and Fibrotic Remodeling in Female Mice

open access: yesJournal of Applied Toxicology, EarlyView.
ABSTRACT The safety of bisphenol analogs as alternatives to bisphenol A (BPA) is increasingly concerning. This study investigated the hepatotoxic effects of bisphenol M (BPM), a widely used BPA substitute, in 6‐week‐old female BALB/c mice exposed to 2.5, 5, and 10 mg/kg/day intraperitoneally for 14 days. Hepatic changes were assessed via histopathology,
Muhammed Canik   +3 more
wiley   +1 more source

IL-33 promotes efferocytosis by peritoneal macrophages by a mechanism associated with rapid granulocyte IL-13 production. [PDF]

open access: yesFront Immunol
Legere SA   +7 more
europepmc   +1 more source

Single‐Cell Profiling Identifies CLEC5A+ Macrophages as Key Drivers of Thoracic Aortic Aneurysm Via CCL5‐Mediated M1 Polarization

open access: yesJournal of Clinical Laboratory Analysis, EarlyView.
Thoracic aortic aneurysm (TAA) is a life‐threatening cardiovascular disease with limited therapeutic options. Through single‐cell RNA sequencing of aortic tissues from healthy individuals and TAA patients (105,541 cells), we identified CLEC5A+macrophages as the predominant pathogenic cell population exhibiting the highest M1 polarization score. Machine
Xiangyu Li   +3 more
wiley   +1 more source

Rhinovirus-infected preschool children with problematic wheeze have lung eosinophilic inflammation. [PDF]

open access: yesJ Allergy Clin Immunol
Offerle T   +8 more
europepmc   +1 more source

Optimizing Laboratory Autoverification in Complete Blood Count Testing Using Machine Learning: A Performance Evaluation Study

open access: yesJournal of Clinical Laboratory Analysis, EarlyView.
This cross‐sectional study evaluated the feasibility of applying machine learning for complete blood count autoverification. Among 63,201 CBC results, the XGBoost model achieved higher sensitivity and predictive values compared with the traditional rule‐based system. ABSTRACT Background Autoverification improves laboratory efficiency by reducing manual
Sinsorn Srirujee   +1 more
wiley   +1 more source

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