Abstract: A method for estimating tumor growth dynamics includes obtaining, by one or more processors, progression-free survival (PFS) data for a plurality of patients, the PFS data indicating (i) a plurality of observation times, and (ii) how many of the plurality of patients, at each of the plurality of observation times, had a PFS event within a most recent time window; determining, by the one or more processors and based on the PFS data, a population distribution for one or more patient-specific parameters; obtaining, by the one or more processors, measured tumor growth data for a particular patient subject to a drug treatment; estimating, by the one or more processors, tumor growth for the particular patient based on (i) the measured tumor growth data and (ii) the population distribution for the one or more patient-specific parameters; and causing, by the one or more processors, a display to present a visual indication of the estimated tumor growth for the particular patient.

Abstract: In one implementation, a computer-implemented method includes accessing, upon authorization, behavior data that includes one or more time series of events indicating health-related behaviors of an individual; determining a behavior score for the individual based on the behavior data, the behavior score indicating the individual's latent behavior state; augmenting the behavioral score with medical data for the individual; identifying, by the computer system, a health-behavior phenotype for the individual based on a current position or trajectory of the augmented behavioral score within a latent health-behavior space that correlates the individual's augmented behavioral score with the health-behavior phenotype for the individual; assigning the individual to a particular population segment based, at least in part, on the current position or trajectory of the individual within the latent health-behavior space (i.e.