World Model · podcast knowledge graph

What the Data Tells Us About COVID-19 with Eric Topol - #392

2020-07-16 · 43 min · episode 392 · 18 entities

Asserted relationships

Entities found in this episode

concepts 6

  • mentioned Science concept
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    evidence rules-v4
    Feed category: Science
  • mentioned Tech News concept
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    Feed category: Tech News
  • discusses Science concept
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    evidence rules-v4
    Feed category: Science
  • discusses News concept
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    Feed category: News
  • discusses Tech News concept
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    evidence rules-v4
    Feed category: Tech News
  • mentioned COVID concept
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    evidence rules-v4
    COVID

companys 4

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned Technology company
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    Feed category: Technology
  • discusses Technology company
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    Feed category: Technology
  • hosted by TWIML company
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    Feed author/publisher: TWIML

persons 3

  • mentioned Eric Topol person
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    What the Data Tells Us About COVID-19 with Eric Topol - #392
  • mentioned Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
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    evidence rules-v4
    Feed author/publisher: Sam Charrington

books 3

  • mentioned Deep Medicine book
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    author of the book Deep Medicine
  • authored Deep Medicine book
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    evidence rules-v4
    author of the book Deep Medicine
  • authored Deep Medicine book
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    evidence rules-v4
    author of the book Deep Medicine

podcasts 2

Episode description as stored
Today we’re joined by Eric Topol, Director & Founder of the Scripps Research Translational Institute, and author of the book Deep Medicine. We caught up with Eric to talk through what we’ve learned about the coronavirus since it's emergence, and the role of tech in understanding and preventing the spread of the disease. We also explore the broader opportunity for medical applications of AI, the promise of personalized medicine, and how techniques like federated learning can offer more privacy in healthc