Exploring Ethics: Artificially Intelligent Models of Cancer
A major ambition of artificial intelligence lies in translating patient data to successful therapies. Machine learning models face particular challenges in biomedicine, however, including handling of extreme data heterogeneity and lack of mechanistic insight into predictions. Here, we argue for “visible” approaches that guide model structure with experimental biology. Guest Speaker: Trey Ideker, Ph.D, Professor, Department of Medicine and Adjunct Professor, Departments of Bioengineering and Computer Science at the UC San Diego. Director of the National Resource for Network Biology, Director of the Cancer Cell Map Initiative, & Director of the Psychiatric Cell Map Initiative.