Care in COVID: A qualitative analysis of the impact of COVID‐19 on the health and care of children and young people with severe physical neurodisability and their families von Cadwgan, Jill, Goodwin, Jane, Arichi, Tomoki, Patel, Anita, Turner, Susie, Barkey, Sinead, McDonald, Aoife, Lumsden, Daniel E., Fairhurst, Charlie

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Neurodisability care in the time of COVID‐19 von Arichi, Tomoki, Cadwgan, Jill, McDonald, Aoife, Patel, Anita, Turner, Susie, Barkey, Sinead, Lumsden, Daniel E., Fairhurst, Charlie

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“Spastic Dystonia”, “Dystonia with Spasticity” or “Dystonia accompanying the Upper Motor Neuron Complex”? A reconciliation of nomenclature is needed von Lumsden, Daniel E., Barkey, Sinead, McClelland, Verity, Lin, Jean-Pierre

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Improvement in Caregiver Priorities and Child Health Index of Life with Disabilities (CPCHILD) scale after deep brain stimulation (DBS) in childhood von Serdaroglu, Esra, Melo, Mariane, Perides, Sarah, Baker, Lesley, Gimeno, Hortensia, Owen, Tamsin, Adegboye, Dolapo, Rudebeck, Sarah, Barkey, Sinead, Lumsden, Daniel E, Ashkan, Keyoumars, Selway, Richard, Kaminska, Margaret, Lin, Jean-Pierre

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Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the P... von Fremond, Sarah, Andani, Sonali, Barkey Wolf, Jurriaan, Dijkstra, Jouke, Melsbach, Sinéad, Jobsen, Jan J, Brinkhuis, Mariel, Roothaan, Suzan, Jurgenliemk-Schulz, Ina, Lutgens, Ludy C H W, Nout, Remi A, van der Steen-Banasik, Elzbieta M, de Boer, Stephanie M, Powell, Melanie E, Singh, Naveena, Mileshkin, Linda R, Mackay, Helen J, Leary, Alexandra, Nijman, Hans W, Smit, Vincent T H B M, Creutzberg, Carien L, Horeweg, Nanda, Koelzer, Viktor H, Bosse, Tjalling

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Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the P... von Fremond, Sarah, Andani, Sonali, Barkey Wolf, Jurriaan, Dijkstra, Jouke, Melsbach, Sinéad, Jobsen, Jan J, Brinkhuis, Mariel, Roothaan, Suzan, Jurgenliemk-Schulz, Ina, Lutgens, Ludy C.H.W, Nout, Remi A, van der Steen-Banasik, Elzbieta M, de Boer, Stephanie M, Powell, Melanie E, Singh, Naveena, Mileshkin, Linda R, Mackay, Helen J, Leary, Alexandra, Nijman, Hans W, Smit, Vincent T.H.B.M, Creutzberg, Carien L, Horeweg, Nanda, Koelzer, Viktor H, Bosse, Tjalling

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Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the P... von Fremond, Sarah, Andani, Sonali, Barkey Wolf, Jurriaan, Dijkstra, Jouke, Melsbach, Sinéad, Jobsen, Jan J, Brinkhuis, Mariel, Roothaan, Suzan, Jurgenliemk-Schulz, Ina, Lutgens, Ludy C H W, Nout, Remi A, van der Steen-Banasik, Elzbieta M, de Boer, Stephanie M, Powell, Melanie E, Singh, Naveena, Mileshkin, Linda R, Mackay, Helen J, Leary, Alexandra, Nijman, Hans W, Smit, Vincent T H B M, Creutzberg, Carien L, Horeweg, Nanda, Koelzer, Viktor H, Bosse, Tjalling

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