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  • Expert opinions cover Brexit football hooliganism and the aging process

    Professor Clare Anderson from the School of History has written an article discussing some of the positive benefits of EU membership and how it is vital in securing our influence across Europe and all over the world.

  • Calcium is key to age-related memory loss

    Research in our Department of Neuroscience, Psychology and Behaviour is offering new clues into how and why cognitive functions such as memory and learning become impaired with age.

  • Professional services

    Browse the professional services staff who work in Molecular and Cell Biology at Leicester, and see their contact details.

  • Biological Chemistry

    Module code: CH7011 The field of biological chemistry has witnessed many major scientific discoveries and is at the forefront of our understanding of life as we know it. This module gives you the chance to delve deeper into this extraordinarily broad field.

  • Chris Willmott

    The academic profile of Dr Chris Willmott, Associate Professor at University of Leicester

  • Audrius Bagdanavicius

    The academic profile of Dr Audrius Bagdanavicius, Lecturer at University of Leicester

  • Fluorescent Deep Space Petri-Pod

    The ‘Fluorescent Deep Space Petri-Pod’ (FDSPP) is a miniaturised hardware solution for performing remotely operated biological experimentation on multiple types of organisms, via fluorescent and white light imaging capabilities in deep space

  • Almost half of NHS workers surveyed have left their role or are considering it

    A significant number of healthcare workers have either left their job or considered changing it because they feel undervalued or have experienced discrimination according to a new study led by the University of Leicester in collaboration with University College London (UCL).

  • 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.

  • Acknowledgements

    A project such as this could not have succeeded without the contribution of many individuals and organisations.

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