The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) What the Data Tells Us About COVID-19 with Eric Topol - #392
Jul 16, 2020
Eric Topol, Director and Founder of the Scripps Research Translational Institute and author of Deep Medicine, dives into the lessons learned from COVID-19. He highlights the disease's surprising impact on various organs beyond just respiratory issues and the importance of accurate data collection. They discuss the power of AI in enhancing medical decision-making and how deep phenotyping may help personalize responses to treatment. The conversation also touches on advancements in diabetes management and the promise of federated learning for privacy in healthcare.
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COVID-19's Broad Impact
- COVID-19 impacts the whole body, not just the lungs, affecting various organs.
- It has a wide spectrum of severity, from asymptomatic cases to fatalities, with some experiencing hidden internal damage.
U.S. COVID-19 Data Challenges
- The U.S. lacks a centralized COVID-19 data dashboard, hindering comprehensive analysis.
- The COVID-19 Tracking Project, run by volunteers, helps fill this gap by collecting data from various sources.
Contact Tracing vs. Digital Surveillance
- Contact tracing has limitations, including false positives and privacy concerns, despite its use in many countries.
- Digital surveillance using wearables offers a potential alternative for detecting and managing outbreaks.
