In the ESPEN SIG meetings the similarities and differences between cachexia and disease-related malnutrition (DRM) were previously analyzed, as well as the role of inflammation in DRM. In the years 2023–2025, the SIG moving forward emphasized the relevance of the evolution of the cachexia definition …

Muscle health, encompassing muscle mass, composition, strength, physical performance and patient-reported outcomes, is a key determinant of clinical outcomes across the life course and a wide range of disease states. Despite growing recognition of its importance, muscle health remains insufficiently …

Background & aim Adequate protein intake is essential during recovery from illness to prevent complications such as malnutrition, sarcopenia, and delayed wound healing. Mobile applications may support self-monitoring and early detection of inadequate intake. This study evaluated the concurrent validity …

The primary to secondary school transition is a vulnerable period in a student’s life, in which students are at risk for experiencing lower levels of well-being. A scoping review was performed following the PRISMA-ScR guidelines to investigate what components play a role in the relationship between the …

This article focusses on the rise of agrogeological soil science in the early 20th century, especially in a Dutch-imperial context, as generating a novel geobiopolitical epistemology for the governance of natural and social worlds. Specifically, this article seeks to understand the consequences of agrogeologists’ …

To broaden the application of biomethanation for energy storage and renewable integration, this study investigates the performance of a trickle-bed reactor (TBR) for hydrogen (H2) utilisation in biogas upgrading, using both pure Carbon dioxide (CO2) and biogas-derived CO2 as substrates for methane (CH4) …

Efficient hydrogen (H2) storage remains a major challenge for clean energy applications. This study presents an AI-driven methodology to optimize H2 storage in porous carbon adsorbents. A comprehensive dataset of 917 literature-derived entries was used to develop two machine learning models: Random Forest …

Power-to-X technologies play a crucial role in accelerating the energy and material transition. A key opportunity lies in integrating these systems with existing bio-based infrastructures such as anaerobic digesters, providing a reliable source of biogenic carbon. Developing effective Power-to-Methanol …

Computed tomography (CT) at the third lumbar vertebra (L3) is widely used for muscle quantification, but manual segmentation is labor intensive. This study externally validates an AI model, trained on a public dataset, for automated L3 muscle segmentation using an independent cohort, including a subgroup …

Introductie: Adolescente voetballers die aspireren het elite­niveau te bereiken, volgen doorgaans een duale carrière. Daarnaast maken zij een snelle fysieke en psychologische ontwikkeling door binnen unieke sociale omgevingen. Niet-trainingsgerelateerde stressoren, zoals onderwijstaken, kunnen stress …