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Parkinson's Research: PPMI Clinical Study Save for later

PPMI News

The Parkinson's Progression Markers Initiative is our landmark study launched in 2010 to deepen knowledge of Parkinson's and to better understand its onset and progression to speed the development of new treatments. Learn the latest news from the study here.

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    Ask the MD: Parkinson's Diagnosis and Biomarkers

    In the latest “Ask the MD” video, Dr. Dolhun talks about how doctors diagnose Parkinson’s and how a tool called a biomarker may help.
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  • Parkinson's Protein Levels Stable over Year in Early Disease

    Parkinson's Protein Levels Stable over Year in Early Disease

    Analysis from the MJFF-led PPMI points to potential use of these biomarkers for testing drug engagement but likely not for tracking short-term progression.
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  • PPMI Data Shows Brain Changes Linked to Parkinson's Progression

    PPMI Data Shows Brain Changes Linked to Parkinson's Progression

    Two studies using data from the MJFF-led Parkinson's Progression Markers Initiative point to brain imaging scans that could help advance drug trials.
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  • Palfreman: Toward Parkinson's Personalized Medicine

    Palfreman: Toward Parkinson's Personalized Medicine

    In his latest blog post for the Journal of Parkinson's Disease, science journalist and person with Parkinson's Jon Palfreman introduces us to Personalized Parkinson Project.
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  • Study Reveals Risk Factors for Early Psychosis in Parkinson's

    Study Reveals Risk Factors for Early Psychosis in Parkinson's

    A recent study using data from PPMI has identified risk factors that may predict the development of early psychosis in Parkinson's.
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    2016 PPMI Data Challenge Winning Submissions Webinar

    Winners of the 2016 PPMI Data Challenge from UC San Francisco and Weill Cornell Medicine will review their methods and findings and will answer questions from the audience.
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  • 2016 PPMI Data Challenge Winners Outline Parkinson's Progression Predictors and Subtypes

    2016 PPMI Data Challenge Winners Outline Parkinson's Progression Predictors and Subtypes

    Tools developed by the winners from UC San Francisco and Weill Cornell Medicine could accelerate testing of new Parkinson's treatments by helping researchers design trials and choose study…
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