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AI Earwax Screening Method Achieves 94% Accuracy for Parkinson's Detection
- Scientists in China developed an AI-powered system that screens for Parkinson's disease by analyzing volatile compounds in ear wax with 94% accuracy.
- Researchers identified four specific volatile organic compounds—ethylbenzene, 4-ethyltoluene, pentanal, and 2-pentadecyl-1,3-dioxolane—as biomarkers differing significantly between Parkinson's and non-Parkinson's samples.
- The diagnostic model combines gas chromatography-surface acoustic wave sensors with a convolutional neural network to classify ear wax samples non-invasively and inexpensively.
- Researchers tested ear wax from 209 subjects, including 108 with Parkinson's, and say early diagnosis enables early intervention that could improve patient care significantly.
- Researchers note that the study was conducted on a limited scale at a single location in China and intend to expand future investigations across different disease stages, multiple centers, and diverse ethnic populations to confirm the effectiveness of the screening approach.
14 Articles
14 Articles
AI sniffs earwax and detects Parkinson’s with 94% accuracy
Imagine diagnosing Parkinson s disease not with pricey scans or subjective checklists, but with a simple ear swab. Scientists in China have developed a promising early screening method that detects Parkinson s from subtle changes in the scent of ear wax yes, really. By analyzing specific volatile compounds in ear wax and feeding that data into an AI-powered olfactory system, they achieved 94% accuracy in identifying who had the disease. If expan…
Cerumenogram: a new frontier in cancer diagnosis in humans
Cancer is the deadliest human disease and the development of new diagnosis methods is important to increase the chances of a cure. In this work it was developed a new method, named here for the first time as cerumenogram, using cerumen (earwax) as a new biomatrix for diagnosis. Earwax samples collected from cancer patients (cancer group) and cancer-free patients (control group) were analyzed by Headspace/Gas Chromatography-Mass Spectrometry (HS/…
A team of researchers from the U.S. has created an innovative style with magnetic and elastic nerves, capable of analysing hand movements and identifying signs of Parkinson's disease with a accuracy of over 95%. The device could become a...
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