Shared from parkinsonsnewstoday.com.
A new method that uses artificial intelligence (AI) to analyze the smell of earwax may help detect Parkinson’s disease, a new study from China reports.
This affordable approach could one day be used to screen people for early signs of Parkinson’s, making it easier to catch the disease before symptoms become severe, according to the researchers.
“Further enhancements to the diagnostic model could pave the way for a promising new PD [Parkinson’s disease] diagnostic solution and the clinical use of a bedside PD diagnostic device,” the team wrote.
The study, “An Artificial Intelligence Olfactory-Based Diagnostic Model for Parkinson’s Disease Using Volatile Organic Compounds from Ear Canal Secretions,” was published in the American Chemical Society journal Analytical Chemistry.