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http://dx.doi.org/10.1136/emermed-2023-213505 | DOI Listing |
Biol Cell
January 2025
CNRS, Univ Rennes, IGDR [(Institut de Génétique et Développement de Rennes)]-UMR 6290, Rennes, France.
Understanding the spatiotemporal organization of components within living systems requires the highest resolution possible. Microscopy approaches that allow for a resolution below 250 nm include electron and super-resolution microscopy (SRM). The latter combines advanced imaging techniques and the optimization of image processing methods.
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Fear of childbirth (FOC) or tokophobia adversely affects women during pregnancy, delivery, and postpartum. Childbirth fear may differ across regions and cultures. We aimed to identify factors influencing the fear of childbirth among the Asian population.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Endocrinology and Diabetes Center, Yokohama Rosai Hospital, Yokohama, Japan.
Several decades have passed since the description of the first patient with primary aldosteronism (PA). PA was initially classified in two main forms: aldosterone-producing adenoma (APA) and idiopathic hyperaldosteronism (IHA). However, the pathogenesis of PA has now been shown to be far more complex.
View Article and Find Full Text PDFIntroduction Acute poisoning in children is still a global health concern that necessitates visiting the emergency department that might associated with morbidity and mortality. It has an impact on social, economic, and health issues, particularly for children under five who account for the majority of poisonings worldwide. Poisoning can result in mild cases, serious complications, or even death; oral ingestion is the most common way that poisoning occurs in children.
View Article and Find Full Text PDFNeurooncol Adv
January 2025
Imaging AI Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Background: Publicly available data are essential for the progress of medical image analysis, in particular for crafting machine learning models. Glioma is the most common group of primary brain tumors, and magnetic resonance imaging (MRI) is a widely used modality in their diagnosis and treatment. However, the availability and quality of public datasets for glioma MRI are not well known.
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