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Introduction: Trauma and hemorrhagic shock (T/HS) are associated with multiple organ injury. Antithrombin (AT) has anti-inflammatory and organ protective activity through its interaction with endothelial heparan sulfate containing a 3-O-sulfate modification. Our objective was to examine the effects of T/HS on 3-O-sulfated (3-OS) heparan sulfate expression and determine whether AT-heparan sulfate interactions are necessary for its anti-inflammatory properties.

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Background: Millions worldwide are exposed to elevated levels of arsenic that significantly increase their risk of developing atherosclerosis, a pathology primarily driven by immune cells. While the impact of arsenic on immune cell populations in atherosclerotic plaques has been broadly characterized, cellular heterogeneity is a substantial barrier to in-depth examinations of the cellular dynamics for varying immune cell populations.

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The applications of artificial intelligence (AI) and deep learning (DL) are leading to significant advances in cancer research, particularly in analysing histopathology images for prognostic and treatment-predictive insights. However, effective translation of these computational methods requires computational researchers to have at least a basic understanding of histopathology. In this work, we aim to bridge that gap by introducing essential histopathology concepts to support AI developers in their research.

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Importance: Airway stenosis is a rare but debilitating disorder that significantly degrades the quality of life in affected patients. Treatments are primarily surgical, and disease management lacks established medical therapies. The North American Airway Collaborative held its third symposium at The Johns Hopkins Hospital in Baltimore, Maryland, on April 15, 2024, focused on strategies to advance the care of these patients.

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