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: Systems and methods providing personalized dietary recommendations based on a taste quotient, a health quotient, and a satiety quotient. The satiety quotient may be calculated by a satiety parameter configuration engine configured to create a satiety profile for each food item by satiety vectors for the food item and then correlating a second synthesized profile of the user with the satiety profile to determine a score of satiety relevancy for the user with respect to the food item. The health quotient may be calculated by a health parameter configuration engine to create a health profile for each food item by health vectors and then correlating a third synthesized profile of the user with the health profile to determine a score of health relevancy for the user with respect to the food item. A recommendation is then provided based on these three quotients.