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KCL

King's College London
Country: United Kingdom
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3,487 Projects, page 1 of 698
  • Funder: EC Project Code: 302040
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  • Funder: UKRI Project Code: ES/J500057/1
    Funder Contribution: 7,150,270 GBP

    Doctoral Training Partnerships: a range of postgraduate training is funded by the Research Councils. For information on current funding routes, see the common terminology at https://www.ukri.org/apply-for-funding/how-we-fund-studentships/. Training grants may be to one organisation or to a consortia of research organisations. This portal will show the lead organisation only.

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  • Funder: UKRI Project Code: EP/F059175/1
    Funder Contribution: 110,644 GBP

    Heart disease is the most common cause of illness and death in the western world. Each year it causes over 208,000 deaths in the UK including nearly half of all non-accidental deaths. Improving the treatment of heart disease is one of the main priorities of the NHS. The aim of this project is to work out the best way we can improve the diagnosis and treatment of heart disease by using state of the art computer models that have been built and personalised for each patient using information such as scans of their heart. These computer models can predict what goes on in the heart by using detailed mathematical formulae which copy they way the heart behaves all the way down to the millions of cells that make up the heart. This works is now possible because of the rapid increases in computer power which means they can quickly do the large number of calculations needed to make the models work. Also because we can do very detailed three-dimensional scans of the heart in patients at the same time as measure the electrical patterns and blood pressure inside the heart we are putting in very accurate information into the models and so can get accurate answers out. These answers have the potential of telling us which patients are going to be at risk of a heart attack or what's the best ways to treat patients whose hearts are not working well. By getting this research to work and implemented in hospital we should be able to substantially improve the treatment of patients with heart disease and even reduce the costs to the NHS.

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  • Funder: UKRI Project Code: 2607817

    TBC

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  • Funder: UKRI Project Code: 2605264

    ecological momentary assessment. the neurobiological basis of this therapy, and therapies like it which address the restructuring of trauma memory recall, is poorly understood. The link between psychosis and PTSD experiences is also well documented but its neural basis is poorly understood. Symptoms of both SSD and PTSD are linked to these trauma memory representations, but there is a paucity of literature on the dual-diagnosed PTSD-SSD population, particularly around the neural basis of these experiences. The proposed project will use functional MRI (fMRI), behavioural measures, and experience sampling method (ESM) to investigate the neural representations of trauma memory recall and the symptom correlates.

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