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The time of your life (Ep 117)
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Manage episode 405209993 series 1941323
How should we study complex biological networks? How do cells keep time and stay in sync? What does it mean for a network to be resilient?
In this episode, we talk with Rosemary Braun, Associate Professor at Northwestern University in the Department of Molecular Biosciences and a member of the NSF-Simons Center for Quantitative Biology. Rosemary is broadly interested in learning whether “more is different” when it comes to complex molecular networks operating across different temporal and spatial scales. We talk with her about systems approaches to uncovering the “Rules of Life” and about circadian (daily) rhythms. She and her team use machine learning to understand emergent phenomena in networks, with the goal of helping medical professionals target treatments based on an individual patient’s circadian rhythm.
Cover art: Keating Shahmehri. Find a transcript of this episode on our website.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit bigbiology.substack.com
161 episode
Seri yang sudah diarsipkan ("Feed tidak aktif" status)
When? This feed was archived on November 28, 2024 14:50 (). Last successful fetch was on September 26, 2024 03:41 ()
Why? Feed tidak aktif status. Server kami tidak mendapatkan feed podcast yang valid secara terus-menerus.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 405209993 series 1941323
How should we study complex biological networks? How do cells keep time and stay in sync? What does it mean for a network to be resilient?
In this episode, we talk with Rosemary Braun, Associate Professor at Northwestern University in the Department of Molecular Biosciences and a member of the NSF-Simons Center for Quantitative Biology. Rosemary is broadly interested in learning whether “more is different” when it comes to complex molecular networks operating across different temporal and spatial scales. We talk with her about systems approaches to uncovering the “Rules of Life” and about circadian (daily) rhythms. She and her team use machine learning to understand emergent phenomena in networks, with the goal of helping medical professionals target treatments based on an individual patient’s circadian rhythm.
Cover art: Keating Shahmehri. Find a transcript of this episode on our website.
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit bigbiology.substack.com
161 episode
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