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With the whirlwind development of AI, it can be difficult to keep track of its uses in both research and the market. In this episode of The Chain podcast, host Ben Hackel, Professor of Chemical Engineering & Materials Science at the University of Minnesota, speaks with Enkelejda “Ledi” Miho, Professor of Digital Life Sciences at the University of Applied Sciences Northwestern Switzerland FHNW, who breaks down the current state of AI and its role in drug development. She talks about the opportunities of AI and drug discovery and how digital biomarkers and molecular data are helping with personalized medicine. Miho also discusses the challenges of advancing AI, why having an “adisciplinary” approach is the key to assembling the right team, and how to design studies to be as broadly robust as possible, as well as the advancements of her and her team’s own research.
4.8
2525 ratings
With the whirlwind development of AI, it can be difficult to keep track of its uses in both research and the market. In this episode of The Chain podcast, host Ben Hackel, Professor of Chemical Engineering & Materials Science at the University of Minnesota, speaks with Enkelejda “Ledi” Miho, Professor of Digital Life Sciences at the University of Applied Sciences Northwestern Switzerland FHNW, who breaks down the current state of AI and its role in drug development. She talks about the opportunities of AI and drug discovery and how digital biomarkers and molecular data are helping with personalized medicine. Miho also discusses the challenges of advancing AI, why having an “adisciplinary” approach is the key to assembling the right team, and how to design studies to be as broadly robust as possible, as well as the advancements of her and her team’s own research.
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