Trial design platform

An apparatus comprising:

• a data processing circuit structured to interpret design data for a set of trial designs, the design data including one or more trial design criteria and defining one or more scenarios;
• a simulation circuit structured to generated simulation data corresponding to the set of trial designs, wherein the simulation data includes performance parameters are grouped into two or more distinct types and prioritized based at least in part on a user preference;
• an optimality determining circuit structured to:
• determine an optimality criteria for evaluating the set of trial designs, and
• search, from the set of trial designs, for globally optimum designs based on the optimality criteria;
• a design analysis circuit structured to analyze the globally optimum designs and determine a modification to the optimality criteria;
• an historical evaluation circuit structured to:
• evaluate historical clinical trial design selections to identify one or more trial design parameters based at least in part on one or more trial design criteria determined from a user via an interactive interface;
• and
• generate, as part of the interactive interface, a visualization that depicts a comparison between at least two or more of the historical trial design selections;
• a substitute circuit structured to generate a substitute for at least some of the simulation;
• a surface circuit structured to generate a performance surface based at least in part on the set of trial designs;
• and
• a scoring engine component structured to calculate a score based on normalized score component values corresponding to the simulation data;
• wherein the optimality determining circuit is further structured to receive the modification and determine a second set of globally optimum designs.

An apparatus comprising:

• at least one memory;
• and
• at least one processor that, upon executing instructions stored in the at least one memory, is structured to:
• obtain design data for a set of trial designs;
• generate simulation data based at least in part on replicating each of the set of trial designs with one or more trial design criteria and one or more scenarios, wherein the simulation data includes performance parameters and performance parameter values associated with each design in the set of designs for a set of criteria, wherein the performance parameters are grouped into two or more distinct types and prioritized based at least in part on a user preference;
• determine one or more optimality criteria for evaluating the trial designs, and search, from the set of trial designs, for globally optimum designs based on the one or more optimality criteria;
• analyze the globally optimum designs;
• determine a modification to the one or more optimality criteria;
• evaluate historical clinical trial design selections to identify one or more trial design parameters based at least in part on one or more trial design criteria determined from a user via an interactive interface, wherein generating the simulation data is based at least in part on a quick search data structure and the one or more trial design parameters;
• generate, as part of the interactive interface, a visualization that depicts a comparison between at least two or more of the historical trial design selections;
• generate a substitute for at least some of the simulation data based at least in part on a relationship between the simulation data and supplemental data;
• generate a performance surface based at least in part on the set of trial designs;
• and
• calculate a score based on normalized score component values corresponding to the simulation data;
• wherein the optimality determining circuit receives the modification and determines a second set of globally optimum designs based on the modified one or more optimality criteria.