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The Longevity Singularity, with Daniel Ives

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Manage episode 405069913 series 3390521
内容由London Futurists提供。所有播客内容(包括剧集、图形和播客描述)均由 London Futurists 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In the wide and complex subject of biological aging, one particular kind of biological aging has been receiving a great deal of attention in recent years. That’s the field of epigenetic aging, where parts of the packaging or covering, as we might call it, of the DNA in all of our cells, alters over time, changing which genes are turned on and turned off, with increasingly damaging consequences.
What’s made this field take off is the discovery that this epigenetic aging can be reversed, via an increasing number of techniques. Moreover, there is some evidence that this reversal gives a new lease of life to the organism.
To discuss this topic and the opportunities arising, our guest in this episode is Daniel Ives, the CEO of Shift Bioscience. As you’ll hear, Shift Bioscience is a company that is carrying out some very promising research into this field of epigenetic aging.
Daniel has a PhD from the University of Cambridge, and co-founded Shift Bioscience in 2017.
The conversation highlighted a way of using AI transformer models and a graph neural network to dramatically speed up the exploration of which proteins can play the best role in reversing epigenetic aging. It also considered which other types of aging will likely need different sorts of treatments, beyond these proteins. Finally, conversation turned to a potential fast transformation of public attitudes toward the possibility and desirability of comprehensively treating aging - a transformation called "all hell breaks loose" by Daniel, and "the Longevity Singularity" by Calum.
Selected follow-ups:
Shift Bioscience
Aubrey de Grey's TED talk "A roadmap to end aging"
Epigenetic clocks (Wikipedia)
Shinya Yamanaka (Wikipedia)
scGPT - bioRxiv preprint by Bo Wang and colleagues
Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

  continue reading

82集单集

Artwork
icon分享
 
Manage episode 405069913 series 3390521
内容由London Futurists提供。所有播客内容(包括剧集、图形和播客描述)均由 London Futurists 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In the wide and complex subject of biological aging, one particular kind of biological aging has been receiving a great deal of attention in recent years. That’s the field of epigenetic aging, where parts of the packaging or covering, as we might call it, of the DNA in all of our cells, alters over time, changing which genes are turned on and turned off, with increasingly damaging consequences.
What’s made this field take off is the discovery that this epigenetic aging can be reversed, via an increasing number of techniques. Moreover, there is some evidence that this reversal gives a new lease of life to the organism.
To discuss this topic and the opportunities arising, our guest in this episode is Daniel Ives, the CEO of Shift Bioscience. As you’ll hear, Shift Bioscience is a company that is carrying out some very promising research into this field of epigenetic aging.
Daniel has a PhD from the University of Cambridge, and co-founded Shift Bioscience in 2017.
The conversation highlighted a way of using AI transformer models and a graph neural network to dramatically speed up the exploration of which proteins can play the best role in reversing epigenetic aging. It also considered which other types of aging will likely need different sorts of treatments, beyond these proteins. Finally, conversation turned to a potential fast transformation of public attitudes toward the possibility and desirability of comprehensively treating aging - a transformation called "all hell breaks loose" by Daniel, and "the Longevity Singularity" by Calum.
Selected follow-ups:
Shift Bioscience
Aubrey de Grey's TED talk "A roadmap to end aging"
Epigenetic clocks (Wikipedia)
Shinya Yamanaka (Wikipedia)
scGPT - bioRxiv preprint by Bo Wang and colleagues
Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

  continue reading

82集单集

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