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The leaves of (Batal) Iljinsk., a plant native to China that has long been used in traditional Chinese medicine to treat diabetes. It remains to be determined what chemical constituents are responsible for this effect.

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Simulation-based training in mental health is increasingly recognised as an effective tool within nursing education. This systematic review and meta-analysis aimed to evaluate the effectiveness of various simulation modalities, including standardised participants (SPs), role-plays, virtual reality (VR), mannequins and voice simulations, in improving educational outcomes for nursing students. A comprehensive literature search was conducted to identify studies evaluating the impact of mental health simulation on nursing education.

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Objective: Patients with chronic kidney disease suffer from immune dysfunction, increasing susceptibility to infections. The aim of the study was to investigate air contamination with respiratory viruses in a dialysis unit at a quaternary hospital using molecular detection techniques and to analyze airflow dynamics through computational fluid dynamics (CFD) simulations for a comprehensive assessment of air transmission risks.

Methods: We conducted dialysis unit air sampling using AerosolSense™ samplers.

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Percutaneous valve implantation or surgical replacement with mechanical or biological valves are standard therapies for severe valvular heart diseases. Prosthetic valve thrombosis, though rare, is a serious complication, particularly with mechanical prostheses. This study aimed to investigate the predictive value of platelet volume parameters, including mean platelet volume (MPV), platelet distribution width (PDW), and platelet-large cell ratio (P-LCR), for valvular thrombosis risk in patients undergoing valve replacement therapy.

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Enhancing Medical Student Engagement Through Cinematic Clinical Narratives: Multimodal Generative AI-Based Mixed Methods Study.

JMIR Med Educ

January 2025

Department of Medical Education, University of Idaho, 875 Perimeter Drive MS 4061, WWAMI Medical Education, Moscow, ID, 83844-9803, United States, 1 5092090908.

Background: Medical students often struggle to engage with and retain complex pharmacology topics during their preclinical education. Traditional teaching methods can lead to passive learning and poor long-term retention of critical concepts.

Objective: This study aims to enhance the teaching of clinical pharmacology in medical school by using a multimodal generative artificial intelligence (genAI) approach to create compelling, cinematic clinical narratives (CCNs).

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