Publications by authors named "J E Grey"

Multiple Endocrine Neoplasia type 1 (MEN1) Clinical Practice Guidelines (2012) are predominantly based on expert opinion due to limited available evidence at the time, leaving room for interpretation and variation in practices. Evidence on the natural course of MEN1-related neuroendocrine tumours (NET) and the value of screening programs has increased and new imaging techniques have emerged. The aim of this study is to provide insight in the current practices of screening and surveillance for MEN1-related NETs in ENETS Centers of Excellence (CoEs).

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Multiple endocrine neoplasia type 2 (MEN2) is the collective term for two distinct types of autosomal dominantly inherited neuroendocrine neoplasm syndromes: MEN2A and MEN2B (or MEN3). MEN2 is characterised by medullary thyroid cancer (MTC) (99%) and phaeochromocytoma (50%) and also other conditions according to specific genotype. MEN2A also includes a 25% risk of developing parathyroid hyperplasia and is now recognised as four separate syndromes: classic MEN2A, MEN2A with cutaneous lichen amyloidosis, MEN2A with Hirschsprung's disease and familial MTC.

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Background: Intake24, a web-based 24-hour dietary recall tool developed in the United Kingdom, was adapted for use in New Zealand (Intake24-NZ) through the addition of a New Zealand food list, portion size images, and food composition database. Owing to the customizations made, a thorough evaluation of the tool's usability was required. Detailed qualitative usability studies are well suited to investigate any challenges encountered while completing a web-based 24-hour recall and provide meaningful data to inform enhancements to the tool.

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Article Synopsis
  • * The study explores how the fluorescence patterns of carbon-nitride dots (CNDs) change based on their synthesis time when exposed to trace-level explosives, revealing analyte-specific responses.
  • * Researchers utilized advanced mapping techniques to analyze how these CNDs interact with different analytes, suggesting that these interactions can be optimized for developing tailored sensors.
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Volumetric muscle loss (VML) is caused by the loss of significant amounts of skeletal muscle tissue. VML cannot be repaired by intrinsic regenerative processes, resulting in permanent loss of muscle function and disability. Current rehabilitative-focused treatment strategies lack efficacy and do not restore muscle function, indicating the need for the development of effective regenerative strategies.

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