AI-based Progression and Medication Response Prediction Study in Parkinson's Disease
This study is looking into new ways to understand and predict how Parkinson's disease might progress and how treatments affect people. It uses smartwatches and a mobile app to collect information about daily activities. This information, along with details about your health and genetics, will help test two special computer programs (AI models). These programs aim to predict how Parkinson's might develop over time and identify potential side effects of medications. The goal is to see if these AI tools can help doctors offer more personalised care and improve quality of life for people with Parkinson's disease. Taking part involves simply wearing a smartwatch and using an app.
At a glance
What is this study about?
This research project, called "AI-based Progression and Medication Response Prediction Study in Parkinson's Disease," is focused on understanding Parkinson's disease in more detail. We know that Parkinson's affects people differently, and how it progresses and how people react to medication can vary a lot. The aim of this study is to explore if new technology, specifically smartwatches and mobile phone apps, can help us predict these changes more accurately.
The main idea is to collect information about your daily life using these devices. This includes things like your movement patterns, sleep, and other activities. This "digital information" will then be combined with your existing health details, such as your age, medical history, and genetic information (if available). All this data will be fed into special computer programs, known as Artificial Intelligence (AI) models.
These AI models are designed to learn from the information and try to forecast how your Parkinson's might develop over time and how you might respond to different treatments, including any potential side effects. Ultimately, the hope is that these AI tools could one day help doctors make more informed decisions about your care, potentially leading to more tailored treatments and a better quality of life for people living with Parkinson's disease. This is an early-stage study to see if this approach is indeed possible and effective.
Key takeaways
- New study using smartwatches and apps for Parkinson's.
- Aims to predict disease progression and treatment effects using AI.
- No new medications are involved in this research.
- Participation involves wearing a device and using an app.
- Could lead to more personalised Parkinson's care in the future.
Who may be eligible?
To join this study, you need to have a confirmed diagnosis of Parkinson's disease and have been living with it for 5 to 10 years. You should be between 40 and 80 years old. Your symptoms should be at a mild to moderate stage, meaning you're generally able to manage daily tasks, especially when your medication is working well ('ON' condition). It's also important that you use a compatible smartphone and are willing to wear a smartwatch and use a mobile app as part of the study.
There are also some reasons why you might not be able to join. For example, if your Parkinson's symptoms are actually due to a different condition, or if you're already receiving more advanced treatments for your Parkinson's. If you're taking very high doses of certain Parkinson's medications or frequently experience hallucinations that need treatment changes, you wouldn't be able to participate. Also, you need to be able to understand and agree to take part in the study and be motivated to follow its instructions. Pregnant or breastfeeding women cannot participate.
Could this study suit you?
Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.
- Do you have a confirmed diagnosis of Parkinson's disease?
- Have you had Parkinson's for 5 to 10 years?
- Are you between 40 and 80 years old?
- Are you able to use a smartphone and willing to wear a smartwatch?
- Are your Parkinson's symptoms currently at a mild to moderate stage (Hoehn and Yahr 2 or 3 'ON' condition)?
- Are you generally able to understand and agree to take part in a study?
What does participation involve?
If you decide to take part in this study, the main things you'll need to do are wear a smartwatch and use a specific mobile application on your smartphone. These devices will quietly collect information about your daily activities and how you're feeling. You'll also be asked to provide some information about your health, medical history, and possibly genetic details. The study team will guide you on how to set up and use the smartwatch and app. There won't be any new medications given as part of this study, as it's observing your current condition and treatment. The study's duration isn't specified in detail, but it focuses on collecting daily living data over a period. The research team will explain exactly how long you'll be involved and what check-ins, if any, will be required.
Potential risks and benefits
Locations (4)
- University Hospital of ToulouseVerified postcodeToulouse, France
- Technische Universität DresdenVerified postcodeDresden, Germany
- Hospital Ruber InternacionalVerified postcodeMadrid, Spain
- Queen Mary University of LondonVerified postcodeLondon, United Kingdom
Common questions
What is the main goal of this study?
The main goal is to test if special computer programs (AI) can use information from smartwatches and apps to predict how Parkinson's disease might progress and how treatments affect people.
Do I have to take any new medications?
No, this study does not involve giving you any new medications. It observes your current condition and treatment.
What will I need to do if I join?
You will need to wear a smartwatch and use a mobile app on your smartphone to collect data about your daily activities.
Will my personal information be kept private?
Yes, all your personal information and data collected will be kept confidential and handled with strict privacy measures.
Can I leave the study if I change my mind?
Yes, you can leave the study at any time, for any reason, without it affecting your usual medical care.
How to find out more
Margherita FABBRI, MD
Always speak to your GP or specialist before deciding to take part in a study.
Interested in taking part?
Discussion
Community discussion
Powered by our forum at community.patient.info. Please be respectful — this is not medical advice.