a16z Podcast: How to Live Longer and Better
The a16z Show
a16z
4.2 • 1.2K Ratings
🗓️ 16 March 2018
⏱️ 18 minutes
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| 0:00.0 | The content here is for informational purposes only, should not be taken as legal business, |
| 0:05.3 | tax, or investment advice, or be used to evaluate any investment or security and is not |
| 0:10.0 | directed at any investors or potential investors in any A16Z fund. For more details, |
| 0:15.0 | please see A16Z.com slash disclosures. |
| 0:18.7 | Hi, and welcome to the A16Z podcast. I'm Hannah and today's episode is about a |
| 0:23.5 | pretty universal topic, which is the idea of longevity. And by that, we mean everything from |
| 0:28.0 | increasing the amount of time that we're healthy to increasing our lifespan and even combating aging. |
| 0:33.6 | We cover everything from the latest research to tools for what we can do in our own personal lives. |
| 0:39.0 | This episode is based on a conversation at our summit event in November 2017 and includes Jeff Kated, CEO and co-founder of QBio, who's the first voice you'll hear after mine. |
| 0:49.0 | Mike Snyder, professor and chair of the Department of Genetics at Stanford, the second voice. |
| 0:53.9 | David Sinclair, co-director of the Glenn Center for Biology of Genetics at Stanford, the second voice, David |
| 0:54.1 | Sinclair, co-director of the Glenn Center for Biology of Aging at Harvard Medical School, |
| 0:59.6 | and Kristen Fortney, CEO and co-founder of BioAge. |
| 1:03.6 | This is a question I'd actually like to ask all of you, which is why now? Why is this the |
| 1:07.8 | moment in which we can either find disease before it occurs or actually extend |
| 1:12.4 | our lives? What is it that's setting the stage for this? I think it has to do with the explosion |
| 1:16.0 | and technology we have to measure biology because in almost any area of scientific discipline, the first |
| 1:21.2 | step is kind of turning it into more or less an information science. And once we have enough |
| 1:26.9 | information and we can start to model these complex processes, which are traditionally thought to more or less an information science. And once we have enough information, |
| 1:30.1 | and we can start to model these complex processes, |
| 1:33.3 | which are traditionally thought of as being too complex for us to understand, |
| 1:36.3 | but with the tremendous gains in computing power we have, |
... |
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