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Background: Potentially inappropriate prescribing (PIP) contributes significantly to treatment burden, specifically in older people. Detecting PIP and improving prescribing practices are therefore crucial for ensuring patient safety and positive outcomes.

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Objectives: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with heterogeneous clinical manifestations which significantly impacts the daily lives of patients. Herein, we aimed to (i) investigate patients' perspectives on and experience with SLE; (ii) identify meaningful aspects of health (MAHs) and concepts of interest (COIs) in SLE that could be evaluated using digital clinical measures (DCMs); and (iii) identify target DCMs for their assessment.

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Precision diagnosis of cognitive impairment due to Alzheimer's disease for therapeutic interventions.

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Progress in understanding the underlying mechanisms of muscular dystrophies is hindered by the lack of pathophysiologically relevant in vitro models. Here, an entirely scaffold-free anchored cell sheet engineering platform is used to create patient-specific three-dimensional (3D) skeletal muscle in vitro models. This approach effectively replicates mature muscle phenotypes and tissue- and disease-specific extracellular matric (ECM).

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