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  • Multicellular Organisation: An Introduction to Physiology, Pharmacology and Neuroscience

    Module code: BS1060 This module will provide an introduction to cellular and systems physiology of the human body with an emphasis on homeostatic mechanisms.

  • Expedition 352: Izu-Bonin-Mariana Forearc

    July 2014 - September 2014 The principal aim of Expedition 352 is to examine magmatic evolution, chemostratigraphy and arc crustal accretion processes associated with subduction initiation in intra-oceanic convergent margins.

  • Resources

    Useful links to resources for schools and colleges looking for information on gene expression.

  • Genetic switch discovery could help to prevent symptoms of Parkinsons disease

    A genetic ‘switch’ has been discovered by MRC researchers at our University which could help to prevent or delay the symptoms of Parkinson’s disease.

  • Crystallisation robots

    Learn about the crystallisation robots in the Department of Molecular and Cell Biology at the University of Leicester.

  • Multicellular Organisation: An Introduction to Physiology, Pharmacology and Neuroscience

    Module code: BS1060 This module will provide an introduction to cellular and systems physiology of the human body with an emphasis on homeostatic mechanisms.

  • Business Taxation

    Module code: AF2085/AF3085 This module provides an introduction to the key UK business taxes, and is one of two accredited modules which together give exemption from the basic taxation exams for the ICAEW, ICAS and ACCA professional bodies.

  • New clues about why non-smokers, as well as smokers, develop chronic lung disease revealed

    chest xray showing lungs|Researchers reveal findings that explain why some people who have never smoked develop chronic obstructive pulmonary disease.

  • Obtaining Full-text Articles

    How to obtain the full text of journal articles and conference papers when doing a systematic review.

  • AI tool for breast cancer patients following surgery will be trialled later this year.

    An international team of researchers, led by the University of Leicester, has developed an artificial intelligence (AI) tool that can predict which breast cancer patients may be at risk of side effects after surgery and radiotherapy.

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