If you could find out in advance that you were likely to develop a disease for which there is no cure, would you want to know? If this were a commercially available product, how should the information be contextualized for end users who may have little or no scientific background to interpret the results? Who is to blame if the technology gets the diagnosis wrong? These are just some of the questions emerging from advances in genetics and, more recently, artificial intelligence in identifying disease earlier than ever before.
In the case recently in the news, researchers have developed an AI-powered device that has a 90% accuracy rate in identifying Parkinson's disease based on listening to how a patient breathes while sleeping. Accuracy increased to 95% by analyzing breathing patterns for 12 nights. Early treatment is critical for preventing damage to the brain yet, at present, there are no blood tests or other reliable diagnostics to detect early Parkinson's. www.washingtonpost.com/technology/2022/09/02/parkinsons-disease-ai-diagnosis/
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