Parkinson’s disease affects tens of millions of people worldwide. A promising new study suggests that it may be possible to detect PD before severe symptoms occur. But how? Enter artificial intelligence! In this episode of Excited by the Science (https://www.edanz.com/excited-science...) our experts discuss a new way to detect Parkinson’s disease in its early stages using AI to analyze our breathing while we sleep.
Host Julian Tang welcomes expert panelists Daniel McGowan, James Graham to discuss the exciting science behind the article, "Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals" (Yang, et al.) https://www.nature.com/articles/s4159... DOI: https://doi.org/10.1038/s41591-022-01...
00:00 Intro/ about the paper (Yang et al.)
00:25 Background: the need for better, earlier diagnosis of Parkinson's Disease
06:32 Methods and Results: what did Yang et al. find, and how?
11:50 Discussion: gaps to be addressed in future studies
15:43 Exciting implications for diagnosis and treatment of Parkinson's
19:16 Wrap-up and thanks