World Model · podcast knowledge graph

Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment

2019-09-23 · 78 min · 11 entities

episode page audio

Asserted relationships

  • → hosted by Lex Fridman person
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    Feed author/publisher: Lex Fridman
  • → discusses Technology concept
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    Feed category: Technology
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  • → discusses Society & Culture concept
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  • → discusses Philosophy concept
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    Feed category: Philosophy

Entities found in this episode

concepts 9

  • mentioned Technology concept
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    Feed category: Technology
  • mentioned Science concept
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    Feed category: Science
  • mentioned Society & Culture concept
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    Feed category: Society & Culture
  • mentioned Philosophy concept
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    Feed category: Philosophy
  • 0.42 · ×2
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    Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment
  • discusses Technology concept
    0.40 · ×2
    evidence
    Feed category: Technology
  • discusses Science concept
    0.40 · ×2
    evidence
    Feed category: Science
  • discusses Society & Culture concept
    0.40 · ×2
    evidence
    Feed category: Society & Culture
  • discusses Philosophy concept
    0.40 · ×2
    evidence
    Feed category: Philosophy

persons 2

  • mentioned Lex Fridman person
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    Feed author/publisher: Lex Fridman
  • hosted by Lex Fridman person
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    Feed author/publisher: Lex Fridman
Episode description as stored
Regina Barzilay is a professor at MIT and a world-class researcher in natural language processing and applications of deep learning to chemistry and oncology, or the use of deep learning for early diagnosis, prevention and treatment of cancer. She has also been recognized for her teaching of several successful AI-related courses at MIT, including the popular Introduction to Machine Learning course. This conversation is part of the Artificial Intelligence podcast.  If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter , LinkedIn , Facebook , Medium , or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes or support it on Patreon .