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Ethnic minority and poorer children more likely to die in intensive care
https://le.ac.uk/news/2025/july/ethnic-minority-death-children-intensive-care-leicester
Children from ethnic minority backgrounds and those living in areas with higher levels of child poverty are more likely to die in intensive care than White children and those from the least deprived areas, new study by University of Leicester researchers shows
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Measuring and Monitoring in Healthcare
https://le.ac.uk/modules/2024/md7458
Module code: MD7458 In this module you will study the measurement, reporting and interpretation of clinical quality and safety indicators.
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Measuring and Monitoring in Healthcare
https://le.ac.uk/modules/2025/md7458
Module code: MD7458 In this module you will study the measurement, reporting and interpretation of clinical quality and safety indicators.
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Measuring and Monitoring in Healthcare
https://le.ac.uk/modules/2026/md7458
Module code: MD7458 In this module you will study the measurement, reporting and interpretation of clinical quality and safety indicators.
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Publications
https://le.ac.uk/country-house-technology/publications
Some other publications Nineteenth-century technical innovations in British Country Houses and their estates, by Marilyn Palmer and Ian West. Engineering History and Heritage, Vol 166 Issue EH1.
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Centre approach
https://le.ac.uk/empathy/about/approach
Find out more about the approach of the Stoneygate Centre for Empathic Healthcare.
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Junior Emergency Medicine (JEM)
https://le.ac.uk/study/schools-and-colleges/post-16/junior-emergency-medicine-jem
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Support for students with ADHD
https://le.ac.uk/accessability/support/adhd-support
Support for students with ADHD at University of Leicester
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Teachers and careers advisers
https://le.ac.uk/study/schools-and-colleges/teachers
The Future Students Office provides expert information, advice and guidance to students, parents and teachers, wherever you are in the world.
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Spotlight on CLANet -- Deep learning in cell line authentication
https://le.ac.uk/computing-and-mathematical-sciences/research/life-health-sciences/clanet
CLANet is an AI framework developed by Professor H Zhou's and collaborators, and funded by AstraZeneca Ltd. Cell line authentication plays a crucial role in the biomedical field, ensuring researchers work with accurately identified cells.