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Imperial College London

Imperial College London

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5,386 Projects, page 1 of 1,078
  • Funder: UK Research and Innovation Project Code: G0901892
    Funder Contribution: 1,521,860 GBP

    Modern surgery would be impossible without general anaesthetics, yet the underlying mechanisms by which these chemicals produce unconsciousness and pain relief are only now being discovered. In parallel with these insights about anaesthetic action, neuroscientists have identified some of the mechanisms that control and regulate natural sleep and consciousness. The aim of our Programme of research is to bring these aspects together so as to better understand how general anaesthetics and sedative drugs act in the brain. We hope to build upon the great advances that have been made over recent years in identifying the protein targets for some of these drugs and use this specificity to guide us towards pinpointing the neuronal pathways important for their actions. The drugs currently used to anaesthetise and sedate patients are far from perfect, providing a mix of desirable (such as loss of consciousness) and undesirable (such as respiratory depression) effects. Different anaesthetics and sedative drugs act on different pathways. Working out which pathways are responsible may help us develop better drugs with fewer side-effects. The dangers of current anaesthetics, and the absence of effective remedies for insomnia, are sadly illustrated by the death of the singer Michael Jackson following the inappropriate administration of the general anaesthetic propofol. However, even in the controlled environment of a hospital, many patients suffer from undesirable side-effects caused by the anaesthetic and analgesic drugs used during perioperative care. Serious risks can be provoked in already compromised patients, a considerable concern in our ageing population. Our work on anaesthetic action tackles a major intellectual problem in basic neuroscience, and at the same time, researching anaesthetic mechanisms and natural sleep pathways, and how they are related, can be expected to provide important information that has practical applications. For example, our work should provide insights into how natural sleep pathways work, information that is likely to aid in the treatment of sleep disorders, which are increasingly common in society.

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  • Funder: UK Research and Innovation Project Code: 2288177

    This work will develop a reliable and efficient process for heterocycle synthesis in continuous flow, to generate compounds appropriate as fragments or lead-like compounds for screening against biological targets. A variety of activated methylene compounds and halo-alcohols with varied substitution and chain length will be combined through the same process.

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  • Funder: UK Research and Innovation Project Code: G0601303
    Funder Contribution: 179,981 GBP

    Hayfever affects 12 million people in UK and may ruin what for most of us is the best time of the year. Hayfever impairs concentration at work and may reduce performance in school exams. Many sufferers respond to antihistamines and nasal steroid sprays. There remains a hard core who may benefit from allergy vaccination (desensitisation injections). Discovered in UK 100 years ago, this treatment is highly effective but requires specialist supervision . We have developed in partnership with a company, ALK Abello, an alternative, effective and safer vaccine containing grass extract that is taken daily as a rapidly dissolving tablet under the tongue (GRAZAX). Based on our understanding of how vaccination works, we now wish to develop a test that measures ‘protective’ antibodies in the bloodstream that will allow us to predict those patients who are likely to respond best to desensitisation and to monitor the effects of treatment.

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  • Funder: UK Research and Innovation Project Code: 2281183

    Sudden cardiac death (SCD) is one of the leading causes of mortality worldwide. Implantable cardiac defibrillators (ICDs) can prevent SCD but they are expensive and hazardous and should be reserved for patients with the highest risk. Many patients who are deemed to be high risk get an ICD but do not need it (and may suffer complications), whilst others deemed to be low risk die without being offered ICD treatment. Currently, the strength of the heart contraction (left ventricular ejection fraction (LVEF) and the QRS duration are the only measurements used to predict the risk of SCD, and determine who is offered ICD treatment. This project will investigate - using AI methods - whether automated analyses of cardiac MRI images, MRI reports and blood biomarkers can predict which patients will suffer SCD. The goal is to develop a tool for the task of risk-stratification of patients and to compare whether it is at least as accurate, faster and more cost-effective than current clinical practice.

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  • Funder: UK Research and Innovation Project Code: G0400443
    Funder Contribution: 159,267 GBP

    Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

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