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

News

Author: Sophie BatesPublished: 13 August 2020

Parkinson's LifePrep: Parkinson's LifeCook: Parkinson's LifeServes:

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.”

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


Read more:

Can over-the-counter drugs reduce risk of developing genetic Parkinson’s?

US hospital initiative improves on-time administration of Parkinson’s medication

Go Back

Share this story

Comments


Related articles


Health & Fitness

5 Parkinson’s exercise classes for keeping fit in lockdown

Free online exercise classes to help you stay active

READ MORE
a-neuronal-journey

Europe

Picturing Parkinson’s: scientists capture brain cells in striking detail

Amazing images show Parkinson’s brain cells in microscopic detail

READ MORE
Christmas

Interviews

“Parkinson’s doesn’t know when it’s Christmas”

How singing can help people manage symptoms of Parkinson’s

READ MORE