26 min listen
The Google Maps Moment in (Modeling) Biology
FromRaising Health
ratings:
Length:
33 minutes
Released:
Dec 7, 2020
Format:
Podcast episode
Description
You don't have to build a million planes to test a million aeronautical designs; we have mathematical simulations and models that do that for us. But in biology—once the class you'd take in high school if you loved science, but hated math—that's been impossible... until very recently. In this episode, Markus Covert, Professor of Bioengineering at Stanford, a16z deal partner Judy Savitskaya, and Bio Eats World host Hanne Winarsky, talk all about where we are in our ability to simulate and build models for how biology works.
Because biology has been so qualitative in the past, and so complex, it's been extremely difficult to translate samples that are, say, gel smudges on a plate into the kind of qualitative data we need for these simulations and models. But we're finally reaching the “Google Maps” moment in biology, Covert says, beginning to be able to build models at the single molecule level, of genetic circuits, whole cells, the dynamic interactions between different cells, map them onto larger networks like tissue… even, of course, model on a global level the effects of a pandemic. The conversation covers Marcus’ story of the Eureka moment behind the first whole cell model; what this new ability to simulate and model will allow us to understand and predict that we haven’t been able to before; and why it all matters—how these tools are bringing us into a new era of designing new functionalities, even new kinds of biological life.
Because biology has been so qualitative in the past, and so complex, it's been extremely difficult to translate samples that are, say, gel smudges on a plate into the kind of qualitative data we need for these simulations and models. But we're finally reaching the “Google Maps” moment in biology, Covert says, beginning to be able to build models at the single molecule level, of genetic circuits, whole cells, the dynamic interactions between different cells, map them onto larger networks like tissue… even, of course, model on a global level the effects of a pandemic. The conversation covers Marcus’ story of the Eureka moment behind the first whole cell model; what this new ability to simulate and model will allow us to understand and predict that we haven’t been able to before; and why it all matters—how these tools are bringing us into a new era of designing new functionalities, even new kinds of biological life.
Released:
Dec 7, 2020
Format:
Podcast episode
Titles in the series (100)
Going Back to the Workplace in a Pandemic: It's not normal to talk to your employer about the details of your health: your current temperature, who you've been exposed to, whether your kid is sick, whether or not you've been social distancing. So how do employers handle and manage this entirely new process of employees returning to the workplace in the midst of an ongoing pandemic? In this episode of Bio Eats World, Vineeta Agarwala (general partner at a16z), Phong Nguyen (EVP and General Manager at Accolade), Ryan Sandler (CEO and Cofounder of Truework), and Mark Sendak (Population Health & Data Science Lead at the Duke Institute for Health Innovation) talk about what it means for employers to now have to manage employee health in a whole new way, figuring out when it's safe to come back, how, and what tools you need. From monitoring employee health and preventing transmission to triaging what happens when there is a documented case; temperature checks (do they even make sense?); te by Raising Health