Abstract Despite well-documented healthcare access disparities, their impact on electronic health record reliability and resulting clinical prediction models remains poorly understood. Here, analysing
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Abstract Smartphone-based digital trace data can offer powerful insights for identifying behavioural patterns and health risks. However, existing tools for comprehensive data collection lack scalabili
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Abstract Patient-facing large language models (LLMs) hold potential to streamline inefficient transitions from primary to specialist care. We developed the preassessment (PreA), an LLM chatbot co-desi
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Abstract Psychedelic drugs are re-emerging as promising scientific and clinical tools. However, despite a rapidly expanding literature on their therapeutic value, the neural mechanisms underlying psyc
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Abstract Nongenetic exposures comprising the ‘exposome’, including diet, lifestyle, infections and pollutants, shape many clinical phenotypes yet the evidence remains fragmented. Here we conducted an
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Abstract KCNT1-related epileptic encephalopathy, including epilepsy of infancy with migrating focal seizures, is a severe neurodevelopmental disorder associated with refractory seizures, profound neur
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Abstract Artificial intelligence (AI) systems have been demonstrated to improve the accuracy of screening mammograms. Here this prospective, paired, noninferiority clinical trial evaluated whether AI
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Abstract Background Medulloblastoma (MB), the most common malignant pediatric brain tumor, lacks prognostic tools integrating clinical, molecular, and treatment-related characteristics for individuali
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Abstract Background Tuberculosis (TB) is one of the leading causes of death worldwide, even though it is curable using antibiotics. Most people who die of TB never begin treatment because diagnostics
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Outcomes of patients with CD30-positive (CD30+) lymphomas have improved with the advent of brentuximab vedotin (BV) and, in Hodgkin lymphoma, anti-PD1 checkpoint inhibitors (CPI). However, there is a
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