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Background: Radioactive iodine (RAI) is a common treatment for various thyroid diseases. Previous studies have suggested susceptibility of parathyroid glands to the mutagenic effect of RAI and the development of primary hyperparathyroidism (PHPT). We tested the possible link between prior RAI treatment, disease presentation, and treatment outcomes.

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Introduction: Body mass index (BMI) has been implicated in various cardiovascular conditions, but its association with peripheral artery disease (PAD) in both real-world and genetic studies have been contentious and debated.

Methods: This study enrolled 6707 individuals from the National Health and Nutrition Examination Survey database to investigate the association between BMI and the risk of PAD. The weighted logistic regression, restricted cubic spline, and subgroup analysis were performed using real-world data.

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l-theanine: From tea leaf to trending supplement - does the science match the hype for brain health and relaxation?

Nutr Res

January 2025

Department of Molecular Medicine, University of Padova, Padova, Italy; IMDEA-Food, Madrid, Spain. Electronic address:

l-Theanine is a unique non-protein amino acid found abundantly in tea leaves. Interest in its potential use as a dietary supplement has surged recently, especially claims related to promoting relaxation and cognitive enhancement. This review surveys the chemistry, metabolism, and purported biological activities of l-theanine.

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Background: Type 1 diabetes is the most common endocrine health condition among youth. Healthcare professionals must consider evidence-based guidelines in managing children and adolescents with diabetic ketoacidosis (DKA). The current study aims to assess the outcomes of implementing clinical guidelines by the American Diabetes Association to manage DKA among pediatrics in an emergency department in Palestine.

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Background: Segmentation models for clinical data experience severe performance degradation when trained on a single client from one domain and distributed to other clients from different domain. Federated Learning (FL) provides a solution by enabling multi-party collaborative learning without compromising the confidentiality of clients' private data.

Methods: In this paper, we propose a cross-domain FL method for Weakly Supervised Semantic Segmentation (FL-W3S) of white blood cells in microscopic images.

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