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AI's Crystal Ball: Predicting Diseases Before Symptoms Appear

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Manage episode 481881089 series 3659308
Content provided by Rukiya Beal. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rukiya Beal or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of Tomorrow's Consciousness, host Rukiya explores how AI technology is advancing to predict diseases before symptoms appear. Through the analysis of biometric data from wearables and voice changes, AI can detect conditions such as early-stage Parkinson's and Alzheimer's. Notable studies, including a 2021 Stanford study on COVID-19 detection and a 2023 Mayo Clinic study on Alzheimer's, highlight the potential of this technology. The episode also addresses the ethical and practical implications of AI in healthcare. Listeners are invited to share their thoughts on the pervasive monitoring of health by AI.

  continue reading

16 episodes

Artwork
iconShare
 
Manage episode 481881089 series 3659308
Content provided by Rukiya Beal. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rukiya Beal or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of Tomorrow's Consciousness, host Rukiya explores how AI technology is advancing to predict diseases before symptoms appear. Through the analysis of biometric data from wearables and voice changes, AI can detect conditions such as early-stage Parkinson's and Alzheimer's. Notable studies, including a 2021 Stanford study on COVID-19 detection and a 2023 Mayo Clinic study on Alzheimer's, highlight the potential of this technology. The episode also addresses the ethical and practical implications of AI in healthcare. Listeners are invited to share their thoughts on the pervasive monitoring of health by AI.

  continue reading

16 episodes

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