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| http://dx.doi.org/10.1097/MLR.0000000000000126 | DOI Listing |
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The spatial biology of HIV infection.
PLoS Pathog
January 2025
The Westmead Institute for Medical Research, Westmead, New South Wales, Australia.
HIV infection implicates a spectrum of tissues in the human body starting with viral transmission in the anogenital tract and subsequently persisting in lymphoid tissues and brain. Though studies using isolated cells have contributed significantly towards our understanding of HIV infection, the tissue microenvironment is characterised by a complex interplay of a range of factors, all of which can influence the course of infection but are otherwise missed in ex vivo studies. To address this knowledge gap, it is necessary to investigate the dynamics of infection and the host immune response in situ using imaging-based approaches.
View Article and Find Full Text PDFQualitative systematic review on the lived experience of functional neurological disorder.
BMJ Neurol Open
January 2025
The Brain and Mind Centre, The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia.
Objectives: Functional neurological disorder (FND) is a complex disorder, recently attracting much research into aetiology and treatment. However, there is limited research on the patient's lived experience. This paper addresses this gap to ask: 'What is the subjective life experience of adult patients living with FND?'
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Mind the gap in kidney care: translating what we know into what we do.
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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
January 2025
Department of Neurology, Inselspital, University of Bern, Bern, Switzerland.
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View Article and Find Full Text PDFDifferences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!
Eur Radiol Exp
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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.
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