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http://dx.doi.org/10.1016/j.toxicon.2025.108558 | DOI Listing |
Toxicon
September 2025
Pimpri, Pune, Maharashtra, India.
Pharmaceuticals (Basel)
August 2025
Bracco Imaging Spa, Bracco Research Centre, Via Ribes 5, 10010 Colleretto Giacosa, Italy.
With great interest, we read the recent paper published in Pharmaceuticals, titled "Study of Interactions Between Gadolinium-Based Contrast Agents and Collagen by Taylor Dispersion Analysis and Frontal Analysis Continuous Capillary Electrophoresis" [...
View Article and Find Full Text PDFNutrients
August 2025
Dipartimento di Scienze Cliniche e di Comunità (DISCCO), University of Milan, 20122 Milano, Italy.
Exercise for improving physical performance or for rehabilitation and exercise for recovering from altered to normal efficiency of muscles, should be matched by adequacy of nutrition, thus supporting increased metabolic needs. Exercise triggers production of energy, and this is followed also by increased production of oxidant molecules, therefore, epigenetic adaptation in cells requires complex modifications, driven by an optimal balance between syntheses and autophagy, maintaining integrity and promoting increased efficiency of cells. Mitochondrial biogenesis, energy production, anti-oxidants systems, protein syntheses, and removal of inefficient structures are all subordinate to the sufficient availability of essential amino acids and they are indispensable to promote, activate, and maintain protein syntheses of all the structures, either contractile proteins or organelles, and related enzymatic systems on which physical efficiency is based.
View Article and Find Full Text PDFJMIR Form Res
August 2025
Alexandra Research Centre for Healthcare in a Virtual Environment, Alexandra Hospital, National University Health System, Singapore, Singapore.
Background: Patient feedback has emerged as a critical measure of health care quality and a key driver of organizational performance. Traditional manual analysis of unstructured patient feedback presents significant challenges as data volumes grow, making it difficult to extract meaningful patterns and actionable insights efficiently.
Objective: We attempted to develop and evaluate a comprehensive methodology for analyzing patient feedback data using natural language processing and Knowledge Discovery in Databases (KDD) approaches, aiming to identify key patterns, themes, and variations in patient experiences across different demographic groups and care settings, and to translate these insights into actionable improvements in health care delivery.