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Nanoparticle-Based Pulmonary Immune Engineering.

Annu Rev Chem Biomol Eng

March 2025

1Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware, USA; email:

Respiratory conditions represent a significant global healthcare burden impacting hundreds of millions worldwide and necessitating new treatment paradigms. Pulmonary immune engineering using synthetic nanoparticle (NP) platforms can reprogram immune responses for therapeutically beneficial or protective responses directly within the lung tissue. However, effectively localizing these game-changing approaches to the lung remains a significant challenge due to the lung's natural defense.

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Aim: This study aims to analyze the fatigue resistance, surface mechanical properties, and biomechanical responsiveness of microtissue-engineered root dentin using cellulose nanofibers, hydroxyapatite nanocrystals, and walnut shell nanopowders.

Methodology: The objectives are to evaluate the differences in fatigue resistance and biomechanics and surface mechanical characteristics by infiltrating these nanomaterials into the root canal of endodontically treated teeth. Forty human permanent single-rooted teeth were collected with the patient's consent.

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Latest developments of microphysiological systems (MPS) in aging-related and geriatric diseases research: a review.

Ageing Res Rev

March 2025

State Key Laboratory of Digital Medical Engineering, Southeast University, Nanjing, China; School of Biological Science & Medical Engineering, Southeast University, Nanjing, China. Electronic address:

Aging is a gradual and irreversible process accompanied by the decline in tissue function and a significantly increased risk of various aging-related and geriatric diseases. Especially in the paradoxical context of accelerated global aging and the widespread emergence of pandemics, aging-related and geriatric diseases have become leading causes of individual mortality and disability, drawing increasing attention from researchers and investors alike. Despite the utility of current in vitro systems and in vivo animal models for studying aging, these approaches are limited by insurmountable inherent constraints.

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Human-AI collaboration in large language model-assisted brain MRI differential diagnosis: a usability study.

Eur Radiol

March 2025

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University Munich, Munich, Germany.

Objectives: This study investigated the impact of human-large language model (LLM) collaboration on the accuracy and efficiency of brain MRI differential diagnosis.

Materials And Methods: In this retrospective study, forty brain MRI cases with a challenging but definitive diagnosis were randomized into two groups of twenty cases each. Six radiology residents with an average experience of 6.

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Introduction: Arterial lines provide vital information regarding a critically ill patient's hemodynamic stability. It is essential that emergency nurses managing arterial lines are confident in their ability to care for patients with these lines.

Problem: Depending on which emergency department, managing and setting up arterial lines may not be frequently required.

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