New AI tool predicts Parkinson’s disease with 96% accuracy — 15 years in advance!

STUDY FINDS

Parkinson’s is a debilitating neurological disease characterized by motor symptoms including slow movement, body tremors, muscle stiffness, and reduced balance. 

It is not genetic, has no specific test and cannot be accurately diagnosed before motor symptoms appear. Its cause is still unknown, although Fox is among those who thinks chemical exposure may play a central role, speculating that “genetics loads the gun and environment pulls the trigger”.

In research published today in ACS Central Science, we built an artificial intelligence (AI) tool that can predict Parkinson’s disease with up to 96% accuracy and up to 15 years before a clinical diagnosis based on the analysis of chemicals in blood.

While this AI tool showed promise for accurate early diagnosis, it also revealed chemicals that were strongly linked to a correct prediction…