Article written by Lachlan Gilbert, via https://newsroom.unsw.edu.au on 10 May 2023
There is no blood test to identify the risk of non-genetic Parkinson’s disease, but that may change if UNSW chemists’ new machine-learning tool is validated.
“First, the accuracy is very high for predicting Parkinson’s disease in advance of clinical diagnosis“.
For example, triterpenoids were found in lower concentrations in the blood of those who later developed Parkinson’s disease compared to those who did not.
A future study could examine whether eating these foods could naturally protect against developing Parkinson’s disease.
“The application of CRANK-MS to detect Parkinson’s disease is just one example of how AI can improve the way we diagnose and monitor diseases“.