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Early phosphate changes as potential indicator of unreadiness for artificial feeding: a secondary analysis of the EPaNIC RCT.
Crit Care
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Clinical Division and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, 3000, Leuven, Belgium.
Background: As compared to withholding parenteral nutrition (PN) until one week after intensive care unit (ICU) admission, Early PN prolonged ICU dependency in the EPaNIC randomized controlled trial (RCT). The Refeeding RCT showed improved outcome by temporary macronutrient restriction in ICU patients developing refeeding hypophosphatemia, defined as a phosphate decrease of > 0.16 mmol/L to levels < 0.
View Article and Find Full Text PDFDigital framework for georeferenced multiplatform surveillance of banana wilt using human in the loop AI and YOLO foundation models.
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Alliance of Bioversity International and International Center for Tropical Agriculture (CIAT), Km 17 Recta Cali-Palmira, Cali, Colombia.
Bananas (Musa spp.) are a critical global food crop, providing a primary source of nutrition for millions of people. Traditional methods for disease monitoring and detection are often time-consuming, labor-intensive, and prone to inaccuracies.
View Article and Find Full Text PDFDigital Home-Based Self-Monitoring System for People with Heart Failure: Protocol for Development of SmartHeart and Evaluation of Feasibility and Acceptability.
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School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.
Background: Heart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community.
View Article and Find Full Text PDFAdvances in High-Resolution Mass Spectrometry-Based Metabolomics: Applications in Food Analysis and Biomarker Discovery.
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Yibin Academy of Southwest University, Yibin 644000, China.
Consumer concerns regarding food nutrition and quality are becoming increasingly prevalent. High-resolution mass spectrometry (HRMS)-based metabolomics stands as a cutting-edge and widely embraced technique in the realm of food component analysis and detection. It boasts the capability to identify character metabolites at exceedingly low abundances, which remain undetectable by conventional platforms.
View Article and Find Full Text PDFRole of artificial intelligence in predicting disease-related malnutrition - A narrative review.
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Centro de Investigación de Endocrinología y Nutrición. Universidad de Valladolid.
Background: disease-related malnutrition (DRM) affects 30-50 % of hospitalized patients and is often underdiagnosed, increasing risks of complications and healthcare costs. Traditional DRM detection has relied on manual methods that lack accuracy and efficiency.
Objective: this narrative review explores how artificial intelligence (AI), specifically machine learning (ML) and deep learning (DL), can transform the prediction and management of DRM in clinical settings.
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