A method for determining trial designs is provided. The method includes receiving, via at least one processor, one or more trial design criteria and one or more scenarios corresponding to a set of trial designs, and generating, via the at least one processor, simulation data based at least in part on replicating each of the set of trial designs with the one or more trial design criteria and the one or more scenarios. The simulation data includes performance parameters and performance parameter values associated with each design in the set of designs for a set of criteria. The method further includes determining, via the at least one processor, an optimality criteria for evaluating the trial designs, searching, within the set of trial designs, via the at least one processor, for globally optimum designs based on the optimality criteria, and transmitting, via the at least one processor, globally optimum designs.

A method, according to some implementations, includes determining, via at least one processor, a plurality of possible sites for recruiting patients from for a trial and determining, via the at least one processor and for each of one or more subgroupings of the plurality of possible sites, a predicted patient recruitment value. The method may include determining, via the at least one processor, a candidate subgrouping of the plurality of possible sites having a predicted patient recruitment value that globally optimizes a desired site selection criteria, and transmitting, via the at least one processor, data corresponding to the candidate subgrouping.

A method, according to some implementations, includes receiving, via at least one processor, output data of a plurality of trial design simulations for a plurality of scenarios and evaluating, via the at least one processor, the output data to determine changes in performance over the plurality of scenarios. The method may further include generating, via the at least one processor, visual tornado diagram data structured to generate a visual tornado diagram on an electronic display of an electronic device and transmitting, via the at least one processor, the visual tornado diagram data to the electronic device.

A method, according to some implementations, determining, via at least one processor, a plurality of possible sites for recruiting patients from for a trial and determining, via the at least one processor and for each of one or more subgroupings of the plurality of possible sites, a predicted available resources value. The method may further include determining, via the at least one processor, which subgrouping of the plurality of possible sites has a predicted available resources value that globally optimizes a desired site resource criteria.

A method, according to some implementations, includes providing inputs to a plurality of trial design simulation engines, receiving first outputs of the plurality of trial design simulation engines in response to the inputs, and providing variations of the inputs to the plurality of trial design simulation engines. The method may further include receiving second outputs of the plurality of trial design simulation engines in response to the variations evaluating the first and the second outputs to determine delta values, and determining, based in part on the delta values, a plurality of normalization factors for the plurality of trial design simulation engines.

A storage medium having software instructions configured to cause a processor to receive a series of user preferences, a user's requested dates of availability, transmit a request for tattoo service providers matching the series of user preferences, and receive a series of tattoo service providers matching the user preferences. The instructions are also configured to cause the processor to display an image of a map including the user's desired geographic location, and to display the series of tattoo service providers with a series of visual indicia. The series of visual indicia are overlaid on the image of the map based on geographic coordinates of the series of tattoo service providers.

A processor-based system and method retrieve customer purchase history information from an internal customer purchase history database for a plurality of customer records representing customers that previously purchased products of an enterprise, and retrieve customer profile information for each customer record. The processor executes a predictive machine learning model to determine a set of product purchase scores for each of the customers by applying a logistic regression model utilizing gradient boosting to the customer purchase history information and the customer profile information. The processor classifies the customers into a target customer group and a non-target customer group by applying a classification criterion to the set of product purchase scores, and generates a report of customers in the target customer group including highest product purchase scores and products recommended for cross-sale. In some embodiments, the predictive machine learning model is configured to forecast likelihood that given customers will lapse in payment.

A method for trial design with simulated annealing includes obtaining, via at least one processor of a trial design platform, initial trial design simulation results data for a set of trial designs. The method may further include identifying an initial design from the design simulation results data, predicting, performance data of designs for variations of parameters corresponding to the set of trial designs, and identifying a new design for simulation by varying parameters of the initial simulated design based on the predicting. The method may also include simulating the new design, determining performance data of the new design, and identifying a second new design for simulation by varying parameters of the new design based on the simulated performance of the new design.

A method for trial design includes presenting on a graphical interface, a set of cards, wherein each card in the set is representative of a different trial design from a set of trial designs. The method further includes: monitoring a first set of user interactions with the set of cards; determining a user preference for one or more values of one or more parameters of the set of trial designs from the first set of user interactions; and presenting on the graphical interface a new card that is representative of a trial design consistent with the determined user preference. The method may also include monitoring a second set of user interactions with the new card and refining the determined user preference based at least in part on the second set of user interactions with the new card.

Disclosed herein are system, method, and computer program product embodiments for maintaining an up-to-date product database. Upon receipt of a description of an event forecasted to occur in a geographic region, one or more sellers in the geographic region may be identified. Upon identification of the one or more sellers in the geographic region, online information of one or more products that are offered for sale may be accessed, and compared with information from the product database for the one or more products. Based on the comparison, a product of the one or more products having a first value for a characteristic of the product in the product database that is different from a second value for the characteristic of the product in the accessed online information may be identified, and the product database may be updated to change the characteristic of the product to the second value.