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The Biotech Podcast

By: Harry B Houston
  • Summary

  • Welcome to the biotech podcast where we talk to the leading scientists in the world about their work, their lives and fundamental questions concerning their field.
    © 2023 The Biotech Podcast
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Episodes
  • Trailer - The Biotech Podcast
    Nov 19 2020

    Harry and Professor Alison Woollard discuss the problems GM technology might face in the future. Remember to hit subscribe...

    If you are interested in helping The Biotech Podcast please take 30 seconds to take the following survey: https://harry852843.typeform.com/to/caV6cMzG

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    2 mins
  • #1 - Dr Leroy Hood: 21st Century Medicine, The Human Genome Project and Systems Biology
    Nov 26 2020

    Dr Leroy Hood is a world renowned biotechnologist, geneticist and author. From the future of medicine to the human genome project, Lee tells about his fascinating life and his views for the scientific future.

    Full synopsis:

    0:00 - Introduction
    2:24 - P4 medicine - what it is and how it will play a role in the future
    17:10 - Systems Biology - A new approach for biological research
    25:15 - Thriving in the future of Biology
    30:25 - Noise in biology
    37:04 - Neuroplasticity and coronavirus
    38:37 - The institute of systems biology
    42:34 - Future novels
    43:24 - Developing scientific tools - How they has affected Lee and how to go about developing them
    01:05:10 - The human genome project 
    01:12:24 - Book recommendations and advice



     

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    1 hr and 20 mins
  • #2 - Professor Keith Downing - Emergent Intelligence, Evolutionary Algorithms and Computational Neuroscience
    Dec 3 2020

    4 billion years ago the earth was bombarded with photons, a short while later a Tesla got launched into space. This week I'm speaking to Professor Keith Downing about emergent phenomena; which the above scenario is a prime example of, alongside the formation of a baby from a fertilised egg, economies from individual interactions and for good measure alcohol from respiring yeast! 

    Full synopsis:

    0:00 - Intro
    1:20 - Emergence and emergent systems
    13:20 - Evolution and its algorithms
    23:40 - Theory of facilitated variation
    31:30 - Neural Information vs Synthetic Information 
    41:30 - Evolutionary computation vs Neural networks
    48:25 - Re-enforcement learning
    1:02:15 - Building intelligence - neural net architectures
    1:07:00 - Advice and Book recommendations

     

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    1 hr and 13 mins

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