Abstract: A system and method for predicting results of a manufacturing process for generating biological structures are disclosed. Exemplary implementations may include: store one or more models configured to simulate a bioreactor device to determine predicted results of a manufacturing process to generate biological structures; obtain an input genomic construct; obtain values of operational parameters associated with the bioreactor device; provide the input genomic construct and the values of operational parameters as input to the stored model(s); obtain outputs from the model(s) including the predicted results of the manufacturing process based on a first simulation of the manufacturing process; generate recommendations based on the outputs of the model(s); provide the outputs from the model(s) and the generated recommendations; and/or other exemplary implementations.

Abstract: System and method for modifying nucleic acid sequences to enhance compound production are disclosed. Exemplary implementations may: obtain genomic information including a representation of a nucleic acid sequence that includes an order of nucleotides; identify individual promoter regions in the order of nucleotides; detect one or more CpG islands; determine one or more probabilities of methylation for individual CpG islands; select one or more of the individual CpG islands for modification of one or more CpG pairs included in the one or more of the individual CpG islands; identify one or more alternative orders of nucleotides for the one or more CpG pairs of the selected CpG islands; analyze the one or more alternative orders of nucleotides; present the one or more alternative orders of nucleotides; and/or perform other steps.

Abstract: A closed-loop system for asynchronous brain control of at least one task includes a brain state decoder configured to decode neural signals of a user into control signals for controlling the at least one task, a task interface module configured to transmit the control signals to the at least one task, store status information including a series of messages regarding each of the at least one task, and select one message of the series of messages regarding the at least one task to transmit to the user, and a brain state encoder configured to map the one message received from the task interface module into brain state montages for transmission to the user.

Abstract: A closed-loop system for asynchronous brain control of at least one task includes a brain state decoder configured to decode neural signals of a user into control signals for controlling the at least one task, a task interface module configured to transmit the control signals to the at least one task, store status information including a series of messages regarding each of the at least one task, and select one message of the series of messages regarding the at least one task to transmit to the user, and a brain state encoder configured to map the one message received from the task interface module into brain state montages for transmission to the user.