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  • SCALE-ENDO

    SCALE-ENDO is the study of communication and adaptive capacity using in-situ learning environments based on real life risks in endoscopy.

  • 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.

  • New Innovation Hub at our University

    A multi-million pound centre to foster and accelerate the next generation of innovators and innovations is being established in Leicester at our University. The Leicester Innovation Hub, a £5.

  • The hoodie: a symbol of all that is wrong with youth today?

    Read the article "The hoodie: a symbol of all that is wrong with youth today?" This is part of the Social Worlds project at the University of Leicester.

  • Endangered Archaeology in the Middle East and North Africa (EAMENA)

    The University of Leicester School of Archaeology and Ancient History Endangered Archaeology in the Middle East and North Africa project

  • Leicester research making a big noise wins national award

    Scientists at the Centre for Environmental Health and Sustainability at University of Leicester receive a ‘Noise Oscar’

  • Leicester receives record Turing Scheme funding

    Having secured its largest-ever single grant for overseas mobility in 2023, Leicester has once more successfully bid for Turing funding to support outbound student mobility.

  • Trailblazing woman of leadership is honoured by the University of Leicester

    A University of Leicester stalwart who led the charge for more women in leadership roles has been honoured by the institution.

  • Genetics expert solves family mysteries for new TV series

    A leading genetics expert from the University of Leicester is part of team seeking to solve ‘DNA Family Secrets’ for a new primetime programme on the BBC.

  • 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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