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S5E01: Merging Minds and Machines: The Future of Drug Discovery
Manage episode 408777119 series 2983987
Content provided by Two Scientists Walk Into a Bar. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Two Scientists Walk Into a Bar or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Computational approaches have revolutionized how we interpret data. With the advent of genomic sequencing, scientists can derive significant conclusions from sequence data. For example, through transcriptomics – the study of genes and their expression in different cells – researchers have made groundbreaking discoveries in fields like developmental and disease biology. More recently, computational approaches have expanded with the introduction of generative artificial intelligence (AI) and its ability to generate new insights from massive datasets, diverse in scope, which can be validated in the lab. In this episode, co-host Maria Wilson sits down with John Marioni, Senior Vice President and Head of Computational Sciences, to discuss how computational methods can complement other research techniques to expedite drug discovery, enhance clinical trials, and prevent biases, ensuring the development of medicines that can treat people of diverse backgrounds. Read the full text transcript at www.gene.com/stories/merging-minds-and-machines-the-future-of-drug-discovery
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51 episodes
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Manage episode 408777119 series 2983987
Content provided by Two Scientists Walk Into a Bar. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Two Scientists Walk Into a Bar or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Computational approaches have revolutionized how we interpret data. With the advent of genomic sequencing, scientists can derive significant conclusions from sequence data. For example, through transcriptomics – the study of genes and their expression in different cells – researchers have made groundbreaking discoveries in fields like developmental and disease biology. More recently, computational approaches have expanded with the introduction of generative artificial intelligence (AI) and its ability to generate new insights from massive datasets, diverse in scope, which can be validated in the lab. In this episode, co-host Maria Wilson sits down with John Marioni, Senior Vice President and Head of Computational Sciences, to discuss how computational methods can complement other research techniques to expedite drug discovery, enhance clinical trials, and prevent biases, ensuring the development of medicines that can treat people of diverse backgrounds. Read the full text transcript at www.gene.com/stories/merging-minds-and-machines-the-future-of-drug-discovery
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Similar to Two Scientists Walk Into a Bar
When you hear the words Alzheimer's disease, what do you think of? The truth is, the picture most of us have of the disease is incomplete. Alzheimer's disease doesn't start when someone starts to lose their memory. It actually starts years – sometimes decades – earlier. The Rethinking Alzheimer's Disease Podcast is an engaging, narrative-style podcast miniseries for those curious or motivated to learn about Alzheimer’s disease. Perhaps you have a family member with Alzheimer’s disease, or ca ...
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