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14677 results for: ‘conference previous cms15 abstracts’

  • Research clusters

    Find out more about our research clusters in the School of Healthcare at the University of Leicester.

  • Adding empathy to health consultations found to boost patient and staff satisfaction with the NHS

    Adding empathy to all health consultations will improve the lives of patients and medical staff and reduce NHS costs, according to a major new publication.

  • Changing the face of British sport governance

    Sporting Equals and the University of Leicester are partners in a New LeaderBoard Academy in Sports Governance

  • Links between historic places, colonialism and slavery revealed

    Connections between 93 historic places and colonialism and historic slavery have been revealed by the National Trust today, for the first time.

  • Discover the amazing benefits of volunteering

    benefits

  • Forensic analysis using micro-CT

    The forensic analysis of the Greyfriars bones by micro-computer X-ray tomography (micro-CT) is the first time that this advanced technique has been applied to an archaeological investigation and was crucial to the investigation.

  • People

    Programme leadership team Martin Tobin Programme Director and Theme 2 Lead As the first person in my family to go to university, I found Leicester Medical School to be a diverse, welcoming and caring environment.

  • Radio Leicester and the University of Leicester 50 Years of Collaboration

    The recent 50th anniversary of the start of the country’s first BBC local radio station, BBC Radio Leicester, which launched on 8 November 1967, also marks the 50th anniversary of the University of Leicester’s ongoing collaboration with Radio Leicester.

  • Common childhood eye disorder is best treated by patching earlier, new study shows

    Most children with a ‘lazy eye’ benefit from earlier patching, new research by University of Leicester experts show

  • Artificial Intelligence tool successfully predicts fatal heart rhythm

    In a Leicester study that looked at whether artificial intelligence (AI) can be used to predict whether a person was at risk of a lethal heart rhythm, an AI tool correctly identified the condition 80 per cent of the time.

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