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PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341

2020-01-23 · 42 min · episode 341 · 13 entities

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    PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341
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  • → hosted by TWIML company
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    Feed author/publisher: TWIML

Entities found in this episode

concepts 5

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  • mentioned Tech News concept
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  • discusses News concept
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  • discusses Tech News concept
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companys 4

  • mentioned TWIML company
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  • hosted by TWIML company
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    Feed author/publisher: TWIML

persons 3

  • mentioned Reinforcement Le person
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    PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341
  • mentioned Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today we’re joined by Jannis Born, Ph.D. student at ETH & IBM Research Zurich, to discuss his “PaccMann^RL” research. Jannis details how his background in computational neuroscience applies to this research, how RL fits into the goal of anticancer drug discovery, the effect DL has had on his research, and of course, a step-by-step walkthrough of how the framework works to predict the sensitivity of cancer drugs on a cell and then discover new anticancer drugs.