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Mind the gap in kidney care: translating what we know into what we do.
Kidney Res Clin Pract
January 2025
Italian Kidney Foundation, Rome, Italy.
Historically, it takes an average of 17 years to move new treatments from clinical evidence to daily practice. Given the highly effective treatments now available to prevent or delay kidney disease onset and progression, this is far too long. The time is now to narrow the gap between what we know and what we do.
View Article and Find Full Text PDFA roadmap toward promoting and improving brain health in Europe and closing the awareness and funding gap.
Eur J Neurol
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Department of Neurology, Inselspital, University of Bern, Bern, Switzerland.
Background And Purpose: The global burden of neurological diseases exceeds 43.1%, imposing a significant burden on patients, caregivers and society. This paper presents a roadmap to reduce this burden and improve brain health (BH) in Europe.
View Article and Find Full Text PDFDifferences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!
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Computational Clinical Imaging Group (CCIG), Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal.
Good practices in artificial intelligence (AI) model validation are key for achieving trustworthy AI. Within the cancer imaging domain, attracting the attention of clinical and technical AI enthusiasts, this work discusses current gaps in AI validation strategies, examining existing practices that are common or variable across technical groups (TGs) and clinical groups (CGs). The work is based on a set of structured questions encompassing several AI validation topics, addressed to professionals working in AI for medical imaging.
View Article and Find Full Text PDFMind the Data Gap: Using a Multi-Measurement Synthesis for Identifying the Challenges and Opportunities in Studying Plant Drought Response and Recovery.
Plant Cell Environ
January 2025
Civil, Environmental, and Mining Engineering, University of Western Australia, Perth, Western Australia, Australia.
Understanding and predicting plant water dynamics during and after water stress is increasingly important but challenging because the high-dimensional nature of the soil-plant-atmosphere system makes it difficult to identify mechanisms and constrain behaviour. Datasets that capture hydrological, physiological and meteorological variation during changing water availability are relatively rare but offer a potentially valuable resource to constrain plant water dynamics. This study reports on a drydown and re-wetting experiment of potted Populus trichocarpa, which intensively characterised plant water fluxes, water status and water sources.
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