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This work is licensed under a Creative Commons Licence. Under this licence you may share and adapt material , for non-commercial purposes only, providing you credit this website (referencing "the Department" and the current curator) as the source of the information. Any work made using the materials in this website must also be made available under the same terms. A full description of the licence terms and conditions can be found at the link below.
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Related actvities at Leicester
The University of Leicester boasts several main facilities, services and initiatives in the area of health data research operated by highly-skilled staff. The information below provides a very broad overview of what is available. If you have any questions, please contact Spencer Gibson or one of the CBS facility managers directly.
Biotechology, bioinformatics and statistics at Leicester
Please note - these services are only a sub-set of the services available at the University of Leicester. For a full picture of the biotechnology services available please visit the Core Biotechnology Services (CBS) page. External users please be aware there may be additional costs and some services may not be available to you. Please contact the relevant service listed on the CBS website for further details.
Health and Big data at the University of Leicester.
In addition to the services above, which are focused more on the data generation and processing stages of health data research, the university also has a range of other research initiatives that are designed to stimulate interdisciplinary research and industry collaboration.
Big Data Unit.
Based in the Informatics department of the university, this unit acts as a hub for handling large datasets. In order to drive the research in the unit, two Professorial Chairs have been appointed. The first will oversee research in to data-oriented software engineering while the second will focus on research into knowledge discovery and machine learning. It is envisaged that the unit will build the capacity required for the university to work in partnership with industry on multidisciplinary big data projects.
Leicester Biomedical Informatics Network for Education, Research and Industry (BINERI)
BINERI is a formal research network backed by the pro-vice chancellor for research. It brings together several institutes, departments and support services engaged in biomedical and health research within the Leicester region. The founding principal of this network is that health related data should be used and re-used optimally and responsibly. A major focus is on strategic planning and alliances, and optimal exploitation of the combined experience in the network regarding data science, information technologies, and access to rich collections of patients, samples and data.
Biomedical Research Centre
The BRC was formed in 2018 with investment from the National Institute for health research. It brings together the expertise of several previous research units, based at both the universities of Leicester and Loughborough. The centre combines expertise in cardiovascular, respiratory and the effects of diet, lifestyle and exercise on conditions such as type II diabetes. As one of only 20 such centres across, the BRC focuses on using the combined expertise of staff, to develop ground breaking treatments, diagnosis, preventative interventions and care, within its fields of expertise.
Experimental Cancer Medicine Centre (ECMC)
The Leicester ECMC is part of a national network of centres which pioneer the early stages of development of novel cancer therapies. The work (based at the Leicester Royal Infirmary hospital site) focuses on the use of stem cells to assist with selecting chemopreventative agents for further clinical development, and research in to the use of biomarkers for detection and monitoring of breast and lung cancers.
Leicester Artificial Intelligence Network (LAIN)
The LAIN is a network bring together experts from 10 different departments split across three university colleges, with the aim of creating an interdisciplinary team, focused on realising the potential benefits that AI can bring. The network has two main objectives.
- Bringing together researchers across all colleges at the University of Leicester studying different (technical, social, legal, and business-related) aspects of AI
- Laying the ground for developing innovative cross-disciplinary research agendas among interested researchers at Leicester and beyond.
Leicester Clinical Trials Unit
The clinical trials unit, provides specialised support in organising and conducting clinical trails across multiple sites. They provide assistance with planning and management stages, as well as ensuring regulatory standards are met. The CTU is also a registered member of the the UK Clinical Research Collaboration and is happy to work in collaboration with researchers to achieve their goals.
Leicester Precision Medicine Institute.
The LPMI brings together several departments of the College of Life Science in the interests of stimulating interdisciplinary research. The main focus of the research within the institute is the correct stratification of patients to ensure the most effective treatment regime is chosen. The focus is to maximise the potential benefits while minimising possible side effects and / or costs of ineffective treatment.
Real World Evidence Unit.
The RWEU is based at the general hospital site. The unit specialises in the extraction and use of data from external resources such as academic papers, the NHS, social care system and biobanks to find real world data that can be used as part of academic research. As this type of research is performed on data from living people, it is heavily regulated and the RWEU can help users to navigate these regulations to ensure their research remains compliant.
This website is intended to be a source of information regarding HDR activities and initiatives undertaken by the University of Leicester. The training page includes activities at the University of Leicester intended to contribute to the capacity building objective of HDR UK. While every effort is made to ensure the information presented is correct the University gives no guarantee of the accuracy of its contents and the reader is advised to check any information shown with the appropriate institution or organisation. Links to external sites does not necessarily imply endorsement of the site and no checks are made to the accuracy of information they display.
