Infrastructure for collaboration: Leeds MRC Medical Bioinformatics Centre
Infrastructure for collaboration: Leeds MRC Medical Bioinformatics Centre
批准号:
MR/L01629X/1
负责人:
Alexander Markham
金额:
$885.92万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --
中文摘要
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英文摘要
For some years medical research has been advanced by new technologies that generate very large amounts of biological data in digital format, for example, new methods that generate very detailed and often three-dimensional images of arthritic joints or new ways of sequencing DNA that bring information on inherited disease. Until recently many of these methods have been limited to research studies, clinical trials and small numbers of patients but recent advances mean that we can now contemplate a future where every individual may know their genome sequence, and where most people will have medical investigations that generate this type of data in routine practice.In parallel to these developments, the UK NHS is increasingly moving away from using paper to store vital information about patient care and adopting modern computer systems which store patients' health records in a secure electronic format. These patient records are valuable data from which we can learn a great deal about the efficacy of health care and the long term effects of treatments. However, it is clear that the value of these health care records to research will be increased if they can be effectively linked to the large scale data described above. It will be possible for instance to make detailed investigations of how treatments may be better or worse depending on the genetics of the person receiving them, and help move towards a world of personalised medicine.Bringing large amounts of varied and complex data from different sources is not without challenge. The data need to be accessible and usable by those with a broad range of backgrounds, including researchers familiar with using complex research data and clinicians familiar with accessing patient records. There are also issues around ethics and privacy, plus the development and sustainability of necessary powerful computing infrastructure to support the linking and secure sharing of data between NHS and research institutions. We aim to overcome these challenges through the creation of the Leeds MRC Medical Bioinformatics Centre which will develop and sustain the infrastructure, experience and facilities needed to undertake ground-breaking research at the point where clinical, health and research data meet. This will be achieved by bringing together a strong team who between them have extensive experience spanning all aspects of the relevant areas including direct patient care, high performance computing, statistics, biomedical and health research. The Centre will build on established and successful links between the University of Leeds, the Leeds Teaching Hospital Trust (LTHT), an external company specialising in medical record systems (The Phoenix Partnership, (TPP)) and the Leeds-based NHS Health & Social Care Information Centre (HSCIC). The Centre will bring together state of the art technology for visualising data and provide a hub for the training of future researchers in this rapidly developing and complex area. The computing infrastructure will be used to establish a Shared Virtual Datacentre (SVD) which will provide researchers with a highly secure and powerful computing platform. The Centre will be set up over the first two years of this project, and will support an increasing number of research projects aiming directly at health care improvements. Initial projects will focus on inherited diseases (the genetic causes of neuro-developmental delay), kidney disease (detecting kidney injury before complications ensue), skin cancer (understanding what leads it to spread) and colorectal cancer (understanding the long term effects of surgery combined with radiotherapy). These projects will demonstrate the ways that our Centre will develop new insights into the factors that drive disease, and provide indicators that inform treatment leading to better, more personalised and more effective medicine and health care.
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DOI:
10.1038/s41598-021-92944-z
发表时间:
2021-07-07
期刊:
Scientific reports
影响因子:
4.6
作者:
[Aivaliotis G, Palczewski J, Atkinson R, Cade JE, Morris MA]
通讯作者:
Morris MA
Sharing patient data: understanding anonymisation.
共享患者数据:理解匿名化。
DOI:
10.1136/bmj.k2700
发表时间:
2018
期刊:
BMJ (Clinical research ed.)
影响因子:
--
作者:
[Affleck P]
通讯作者:
Affleck P
DOI:
10.1177/0272989x14529624
发表时间:
2014-07-01
期刊:
MEDICAL DECISION MAKING
影响因子:
3.6
作者:
[Abhyankar, Purva, Summers, Barbara A., Bekker, Hilary L.]
通讯作者:
Bekker, Hilary L.
Evaluation of the Methods and Management of Acute Coronary Events (EMMACE)-3: protocol for a longitudinal study.
评估急性冠状动脉事件的方法和管理-3:纵向研究的方案。
DOI:
10.1136/bmjopen-2014-006256
发表时间:
2015-06-23
期刊:
BMJ open
影响因子:
2.9
作者:
[Alabas OA, West RM, Gillott RG, Khatib R, Hall AS, Gale CP, EMMACE-3 Investigators]
通讯作者:
EMMACE-3 Investigators
DOI:
10.1186/s12889-015-1800-8
发表时间:
2015-05-13
期刊:
BMC public health
影响因子:
4.5
作者:
[Adab P, Pallan MJ, Lancashire ER, Hemming K, Frew E, Griffin T, Barrett T, Bhopal R, Cade JE, Daley A, Deeks J, Duda J, Ekelund U, Gill P, McGee E, Parry J, Passmore S, Cheng KK]
通讯作者:
Cheng KK
共 6 条
国内基金
海外基金
Supply Chain Collaboration in addressing Grand Challenges: Socio-Technical Perspective
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批准号:--
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项目类别:外国青年学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:Lim Jia Jia
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依托单位:
Tevatron对撞机上D0国际合作组实验物理研究
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批准号:10445002
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项目类别:专项基金项目
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资助金额:10.0万元
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批准年份:2004
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负责人:韩良
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依托单位: