Our movements can hide early signs of Parkinson's disease
ParkinsonLab is building an AI-based solution for the recognition of early signs of neurological disorders like Parkinson's disease
Sensors inside regular smartwatches like Android Wear (TM), Fitbit (TM), and Apple Watch (TM) record enormous amounts of health and motion data while we use them. What if we can use this data not only to track heartbeats or steps but also for more important things. To read and interpret the enormous amount of data, we utilize an AI technology To create the future of preventive medicine, we're building a novel deep neural network ParkinsonAI.
Android Wear (TM), Fitbit (TM) - trademarks owned by Google. Apple Watch (TM) - trademark owned by Apple
7M people have been diagnosed with Parkinson's disease, and this figure increases by 10% every year. At an early stage there are no or slight signs of disease, and the patient doesn't recognize the beginning of the Parkinson's. There is no cure for Parkinson's disease, but it can be possible to significantly slow down the progression of the disease at an early stage.
Combination of digital biomarkers
Digital biomarkers are user-generated physiological and behavioral data that are collected from smartwatches and smartphones and that can be used to interpret or predict the user's health.
There are trillions of microscopic vibrations during our movement. We can determine whether such oscillations or other anomalies are due to the Parkinson's disease or whether it is just an occasional occurrence
Product App with AI for a smartwatch
Download the app to your smartwatch and track your condition constantly
Share the report with your MD as an additional information about your health
You can discuss your personal data with your family
All data is stored in an encrypted form
If you have any questions about the app, we are always in touch with you within one click
Technology is specifically designed to ensure that your smartwatches don't waste a lot of energy
Feel free to write and call us. We would like to hear from you.