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https://www.selleckchem.com/ Lymphoedema is a disorder of the lymphatic system that presents as an atypical swelling and accumulation of protein-rich fluid within the interstitial spaces. Head and neck lymphoedema (HNL) is highly prevalent in patients who have been treated for head and neck cancer (HNC) and may manifest externally on the face and neck; internally within the oral cavity, pharynx or larynx; or as a combination of both. HNL is known to contribute to a wide range of physical, functional and psychological issues, and presents several unique challenges in terms of its management. This review article provides an overview of HNL for clinicians and aims to improve awareness of this condition and the impact it has on patients.During the course of the COVID-19 pandemic, lymphoedema and community clinicians have had to modify how they implement intensive treatments for patients with lymphoedema and chronic oedema. Using novel approaches to treat and move patients towards self-management regimes has enabled patients to be in control of their condition, particularly if they are unable to attend normal clinic appointments. This article explores how using Haddenham easywrap instead of time- and resource-intensive bandaging regimes, alongside the Haddenham LymphFlow Advance, as part of self-management programmes, can benefit patients' quality of life, reduce costs and resource use and enable patients to self-manage this long-term chronic condition more effectively.The widespread availability of high-performance computing and the popularity of artificial intelligence (AI) with machine learning and deep learning (ML/DL) algorithms at the helm have stimulated the development of many applications involving the use of AI-based techniques in molecular imaging research. Applications reported in the literature encompass various areas, including innovative design concepts in positron emission tomography (PET) instrumentation, quantitative image reconstruction and analysis te

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