『The North of Scotland Parkinson’s Research Podcast Series』のカバーアート

The North of Scotland Parkinson’s Research Podcast Series

The North of Scotland Parkinson’s Research Podcast Series

著者: The North of Scotland Parkinson’s Research Interest Group
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The North of Scotland Parkinson’s Research Interest Group (NoSPRIG) is part of a nationwide network of research groups supporting Parkinson’s UK by increasing awareness and involvement in research at a regional level. We comprise of people with Parkinson’s Disease, carers, health professionals, scientists, and interested volunteers. The aim of our podcast series is to focus on Parkinson’s research from a Scottish perspective and highlight some of the work being done here to find out more about the mechanisms of this complex disease and ways of making life better for those living with it. We hope you find our episodes entertaining and informative. Any feedback would be much appreciated - email: nosprig@gmail.com. Thank you for listening!Copyright 2022 All rights reserved. 科学 衛生・健康的な生活 身体的病い・疾患
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  • Landmark Project - Prof David Dexter and Prof Michael Johnson
    2025/12/18

    Landmark is a ground-breaking research programme aimed at accelerating the search for new treatments by applying cutting edge techniques to gain a new level of insight at cellular level into the changes Parkinson's causes in the brain. Principal investigator Professor Michael Johnson from Imperial College London explains the need across the global research community for the new high quality datasets his team will produce.

    The project will use tissue samples from the Parkinson's UK Brain Bank, which was set up 22 years ago as a result of the remarkable foresight of Professor David Dexter, who is now the charity's Director of Research. He explains what it was like to see his vision come to fruition when Landmark was launched.

    The three year research programme brings together a Parkinson's UK led consortium of four major pharmaceutical companies - GSK, Novartis, Roche, and UCB, plus Imperial College London, which was made possible with £4m of funding from the Gatsby charitable foundation.

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    40 分
  • Parkinson's Prevalence Data - Caroline Rassell and Lance Lee, Parkinson's UK
    2025/11/20
    Parkinson’s UK have published the results of an unprecedented study that’s provided a wealth of new detail into the condition in the UK today. Eighteen million patient records were analysed uncovering the key issues facing the one hundred and sixty-six thousand people with the condition in this country and highlighting up to twenty-one thousand more with no treatment or support while they wait to be diagnosed. With the help of Caroline Rassell, CEO of Parkinson's UK and Lance Lee, the charity's Analytics and Insights Lead, we examine the methodology behind the collection of a data set of this magnitude, how the millions of pieces of information are harmonised to reach accurate results. We also hear how patient privacy is protected when medical records are used for research of this kind and some of the implications of the information the survey has uncovered. If you would like to read more about the research click on this link: https://www.parkinsons.org.uk/research/research-blog/our-research/parkinsons-uk-what-do-we-know
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    45 分
  • Predict-PD Study - Professor Alastair Noyce, Principal Investigator
    2025/10/16

    The ground-breaking Predict-PD study has been gathering valuable information from thirteen thousand volunteers for 15 years, in an effort to find ways of identifying those people most at risk of developing Parkinson’s. We catch up with progress so far and find out how the project is continually growing and swapping information with other researchers as science moves ever closer towards the establishing the causes of the world’s fastest growing neurological disorder.

    Dr Alastair Noyce, the Principal Investigator, is Professor of Neurology and Neuroepidemiology at the Queen Mary University of London.

    If you are interested in volunteering to take part or just want to find out more, you can do so using this link:

    https://predictpd.com/en

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    38 分
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