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  • Researchers identify common biological features of different types of asthma

    Researchers have identified biological variations in lung tissue samples that for the first time can help identify people with mild asthma from those with moderate or severe asthma.

  • Publications

    Browse the publications written by academics where the Electron Microscopy Facility at the University of Leicester has been of use.

  • University of Leicester student honoured by Sri Lankan High Commission invitation

    A University of Leicester student has spoken of her pride after being invited to meet One of Sri Lanka’s most senior diplomats.

  • NHS innovation award for truck driver scheme

    Leicester Diabetes Centre project helping truckers lead healthier lives has been shortlisted for an NHS innovation award

  • Publications

    2024 – 2025  Jephcote C, Gulliver J, Development and evaluation of rapid, national-scale outdoor air pollution modelling and exposure assessment: Hybrid Air Dispersion Exposure System (HADES), Environment International, Volume 197,2025,109304,ISSN 0160-4120,...

  • Technology, Organisation and People

    Lead: Professor Maggie Zeng The Technology, Organisation, and People (TOP) research group focuses on examining the interplay between technological innovations, data analytics, organisations, and people.

  • Return of Title IV aid policy

    Overview This policy applies only to eligible US and non-US citizens receiving Title IV Financial Aid who began attending for a payment period (term or semester) and then withdrew or temporarily suspended during the payment period (term or semester).

  • Exploring explosions in space

    Exploring gamma-ray bursts, the enormous, distant explosions in space.

  • Conference to focus on producing graduates with skills employers seek

    The University is enlisting the help of graduate recruiters and employer representatives to identify how its curricula can encourage students to develop the “soft skills” needed in the work place.

  • Breast cancer treatment could benefit from Artificial Intelligence

    Artificial Intelligence could identify patients at increased risk of side effects from radiation treatment for breast cancer

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