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


Smiling doctor and patients

PD in Practice

Are you in a patient-style ‘rut’? How to talk so your doctor listens

How to recognise patient styles to improve doctor relationships

READ MORE
Copenhagen unity walk

Europe

Denmark walks for Parkinson’s

The 4th Copenhagen Unity walk takes place at the end of May

READ MORE
Parkinson's productive

Interviews

“Fear prevents people from living a productive life”

The latest in our monthly series profiling WPC2019 bloggers

READ MORE