Abstract: A method, according to some implementations, includes obtaining trial design simulation results for a set of trial designs and determining a set of Pareto designs in the set of trial designs based at least in part on the trial design simulation results and one or more performance parameters. The method further includes determining a set of convex hull designs in the set of trial designs, determining a set of recommended designs based at least in part on the set of Pareto designs and the set of convex hull designs, and transmitting the set of recommended designs.

Abstract: Publication pre-screening may include the use of a trained model. A trained language model may be fine-tuned on a question-and-answer task and may be configured to receive a question that includes inclusion and exclusion criteria for a publication. The question may be formulated to include context information such as a title and abstract of the publication. An output of the model may be used to determine a selection of the publication.

Abstract: 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.

Abstract: 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.

Abstract: A single vessel cyclic synthesis process for preparation of a sialyl.alpha.2.fwdarw.3.beta.galactoside is disclosed. In accordance with this process, a sialyltransferase acceptor is sialylated in an aqueous reaction medium by an .alpha.(2,3)sialyl transferase and CMP-sialic acid to form a sialyl donor substrate and CMP. In the presence of the trans-sialidase of Trypanosoma crusi, that sialyl donor substrate provides a sialyl group for a trans-sialidase acceptor, thereby preparing the sialyl.alpha.2.fwdarw.3.beta.galactoside. The .alpha.(2,3)sialyltransferase acceptor is reformed upon trans-sialidation of the latter acceptor, and the sialyl donor substrate is reformed using the .alpha.(2,3)sialyltransferase and a CMP-sialic acid recycling system that combines CMP with sialic acid that is also present in the vessel. The K.sub.m /V.sub.max value for the .alpha.(2,3)sialyltransferase acceptor is less than one-tenth the value of K.sub.m /V.sub.max of the trans-sialidase acceptor for the .alpha.