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Mechanistic insight into human milk extracellular vesicle‐intestinal barrier interactions
Published 2025-01-01Get full text
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Case Study: The Surgical Management of Angiokeratoma Resulting from Radiotherapy for Penile Cancer
Published 2009-01-01Get full text
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A Prospective Determination of the Incidence of Perceived Inappropriate Care in Critically Ill Patients
Published 2014-01-01Get full text
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Can social adversity and mental, physical and oral multimorbidity form a syndemic? A concept and protocol paper
Published 2025-01-01“…Thus, the present project aimed to (i) test for syndemic interactions between social adversity (socioeconomic adversity and traumatic events) and mental, physical and oral multimorbidity using the syndemic theoretical framework; and (ii) determine whether the syndemic relationships vary by age, sex and ethnicity.MethodsData from three large-scale population-based databases: UK BioBank, US National Health and Nutrition Examination Survey (NHANES) and the Research with East London Adolescents Community Health Survey (RELACHS) will be analysed. …”
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Analytical approaches to evaluate risk factors of multimorbidity: a systematic scoping review protocol
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Evaluation of Physical Symptoms in Patients on Peritoneal Dialysis
Published 2012-01-01Get full text
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Interventions used to reduce infectious aerosol concentrations in hospitals—a reviewResearch in context
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Aggressive Angiomyxoma of the Bladder Neck Requiring Local Excision and Mitrofanoff Formation
Published 2015-01-01Get full text
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Retroviral and Lentiviral Vectors for the Induction of Immunological Tolerance
Published 2012-01-01Get full text
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Inference of a three-gene network underpinning epidermal stem cell development in Caenorhabditis elegans
Published 2025-02-01Get full text
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Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data
Published 2022-12-01“…Using a unique linked health and education data resource, we examined how machine learning (ML) approaches can predict risk of ADHD.Design Retrospective population cohort study.Setting South London (2007–2013).Participants n=56 258 pupils with linked education and health data.Primary outcome measures Using area under the curve (AUC), we compared the predictive accuracy of four ML models and one neural network for ADHD diagnosis. …”
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Pain Reports by Older Adults in Long-Term Care: A Pilot Study of Changes Over Time
Published 2005-01-01Get full text
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