Featured on the Moneyball Medicine podcast, Thomas Chittenden, Genuity Science’s chief data science officer, talks about the power of causal statistical learning, Bayesian belief networks, and other advanced mathematical techniques to understand those cascading gene interactions that account for health and disease—and translate them into insights that can provide drug makers with new targets.
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