A new study published in Nature reveals that AI systems can now detect early signs of Parkinson’s disease by analyzing nocturnal breathing patterns. Researchers developed an AI model that uses radio wave signals, similar to Wi-Fi, to monitor a person’s breathing during sleep without physical contact. The system was trained on data from over 7,600 individuals, achieving high accuracy in identifying both Parkinson’s and its progression. This non-invasive, at-home monitoring tool could enable earlier diagnosis and more frequent tracking of the neurodegenerative disease, potentially years before major motor symptoms appear. The technology may also be adaptable for other neurological conditions like Alzheimer’s. Read the full article at https://example.com/ai-parkinson-breathing-study.