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Episode: 5 - Kim Branson on Building Groundbreaking AI/ML Models in Drug Discovery

Episode: 5 - Kim Branson on Building Groundbreaking AI/ML Models in Drug Discovery

Released Tuesday, 24th May 2022
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Episode: 5 - Kim Branson on Building Groundbreaking AI/ML Models in Drug Discovery

Episode: 5 - Kim Branson on Building Groundbreaking AI/ML Models in Drug Discovery

Episode: 5 - Kim Branson on Building Groundbreaking AI/ML Models in Drug Discovery

Episode: 5 - Kim Branson on Building Groundbreaking AI/ML Models in Drug Discovery

Tuesday, 24th May 2022
Good episode? Give it some love!
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Dr. Kim Branson’s intense interest in drug discovery and structural biology quickly led to an interest in machine learning. After receiving multiple degrees from esteemed universities in Australia, Branson trained at Stanford and now works as the Senior Vice President and Global Head of AI/ML at GSK. With host, Stan Gloss, Branson shares his work in creating “biological twins.” These 3-D tumor culture models replicate cancer and their respective immune environments. Branson and his team monitor tumor and immune responses to cancer drugs in real-time. The clinical implications of anticipating a tumor’s every move within a patient’s body are astounding. He also explains why thoughtfulness is paramount in experiment design and how a project’s impact should be the primary consideration before proceeding. Learn how GSK recruits talent and the importance of creating a multidisciplinary environment. Hear Branson talk about eliminating AI analysis bias, navigating ethical issues, and the new generation of leaders on his team. 

Links from this episode:  
Bio-IT World
BioTeam
GSK 

Trends from the Trenches boiler: Bio-IT World’s Trends from the Trenches podcast delivers your insider’s look at the science, technology, and executive trends driving the life sciences through conversations with industry leaders. BioTeam co-founder Stan Gloss brings years of industry experience in science, data, and technology to conversations exploring what is driving data and discovery, and what’s coming next.

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