Latent Space Approaches to Subtyping in Oncology Trials

Applied Mathematics
Event time: 
Tuesday, December 4, 2018 - 4:00pm
LOM 215
Michael Kane
Speaker affiliation: 
Yale University
Event description: 

Abstract: New, more effective cancer therapies have upended traditional randomized controlled trials. For targeted therapies and immunotherapies, single-arm trials made up heterogeneous groups of patients have become common. This change has motivated the development of new techniques for identifying patient subtypes based individual-level features. In this talk, we will present a framework based on a latent-space construction to characterize patients by their subtype, increase the predictive response rate, and construct counterfactuals to distinguish the effect of a drug from that of the subtype. Applications based on real trials will be included to illustrate these points. This is joint work with Brian Hobbs at the Cleveland Clinic.