New machine learning model could help pinpoint stages of Parkinson’s

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Author: Sophie BatesPublished: 13 August 2020

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A new machine learning model aims to help clinicians understand how Parkinson’s progresses in an individual, in relation to the emergence of symptoms of the condition.

The model, designed by US technology company IBM in collaboration with US charity The Michael J Fox Foundation (MJFF), assesses how advanced an individual’s Parkinson’s is – and takes into consideration how medication may mask visible symptoms such as tremors. Researchers at IBM plan to train the model using data from people with Parkinson’s, collected by MJFF, to help define each stage of the condition.

Kristen Severson, a postdoctoral researcher at IBM Research said: “In the future, progression models such as ours may help support various clinical applications. For example, once the disease states are learned, clinicians could quantitatively group patients as well as better predict progression – which could potentially help to inform more personalised patient care and management, as well as more effective drug trials.”

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For more information on the latest Parkinson’s research please visit the Parkinson’s Europe website.

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New machine learning model could help pinpoint stages of Parkinson’s

News

Author: Sophie BatesPublished: 13 August 2020

Prep: Cook: Serves:

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New machine learning model could help pinpoint stages of Parkinson’s

News

Author: Sophie BatesPublished: 13 August 2020

Last Month

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Share this story

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Related articles

Interviews

Telling the stories behind Parkinson’s

Perspectives

Game of Thrones star pedals for Parkinson’s

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Parkinson’s and work: “We feel like we have to go above and beyond just to keep up”

Parkinson’s Europe co-founder Lizzie Graham wins World Parkinson Coalition award

Study explores predictors of cognitive impairment in Parkinson’s disease

Could frailty be a potential risk factor for Parkinson’s disease?

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