IBM, AI and Michael J. Fox against Parkinson’s

Parkinson’s cannot be defeated yet, but it can be studied more thoroughly, also learning to better manage the symptoms of the disease, thanks to Artificial Intelligence. The joint work between IBM Research and the Michael J. Fox Foundation, for several years together to try to accelerate research on a disease that limits the quality of life of many people globally (over 6 million new diagnoses every single year), but which has not yet found effective treatments.

Machine learning to manage Parkinson’s symptoms

To certify the results is The Lancet Digital Health, according to which the application of new machine learning and Artificial Intelligence models be able to considerably assisting physicians in helping patients manage their disease (thus improving the quality of life of the people involved). In the case:

  • By training IBM AI models on the largest volume of longitudinal data on Parkinson’s patients, the team was able to develop aartificial intelligence capable of accurately identifying the progression of the disease in different patients, through the analysis of different motor, postural or mental problems and symptoms;
  • Furthermore, the model could predict whether or not a patient will progress to a severe state Parkinson’s disease;
  • the forecasts of progression and severity of the disease have been tested in different research centers on groups of people affected by Parkinson’s disease.

1400 people from 11 different countries would have been involved in the “Parkinson’s Progression Markers Initiative“And the data collected would have allowed the development of the new models under study:”By better understanding and predicting how a disease will manifest itself, doctors can determine the best medications and therapies for a specific patient and more effectively identify those who could benefit from a clinical trial“. In short, in the absence of immediate solutions, the goal is to control the disease to reduce its impact on people.

Categories:   Digital Economy