The European research project has recently developed a digital technique using Artificial Intelligence (AI) that should help treat Parkinson’s disease as part of the Validating DIGItal biomarkers for better-personalized treatment of Parkinson’s Disease (DIGIPD).
Indeed, the project uses digital biomarkers through a tiny device that can be attached to the shoe of a patient. By doing so, it is able to transmit recordings wirelessly to a tablet. Those digital biomarkers can also be utilized through recordings of the voice and facial movements.
This study aims to provide essential data on the way digital biomarkers can help differentiate different courses of the disease and predict the course of the disease. This could then lead to a better individualized treatment of each patient and better care from health providers.
To do so, DIGIPD uses a lot of large and complex data sets with machine learning and AI. It is also investigating data protection and ethical aspect while evaluating patient data with AI so that patients are involved in the project.
The study is taking place in Erlangen, Paris, and Luxembourg as well as analyzed by French researchers at the Institute Polytechnique de Paris. Besides, researchers at Fraunhofer SCAI and the University of Luxembourg will continue to evaluate all study data that are using AI methods.