Abstract: A method of producing recombinant alkaline phosphatase comprising control of production parameters, particularly harvest clarified culture fluid (HCCF) and filtration pool (UFDF), to provide a defined total sialic acid content.

Abstract: A system for training a neural network includes a neural network configured to receive a training input in an image space and produce an enhanced image. The system further includes an error signal generator configured to compare the enhanced image to a ground truth and generate an error signal that is communicated back to the neural network to train the neural network. Additionally, the system includes a neural input enhancer configured to modify the training input in response to receiving at least one of an output from the neural network or the error signal. Modifying the training input improves one of an efficiency or a training result of the neural network beyond the communication of the error signal to only the neural network.

Abstract: The disclosure generally relates to the artificial intelligence (AI) automatic methods, computer program product, and systems and methodology for dietary and medical treatment planning, food waste estimation, analyzing three-dimensional food image construction, measurement, nutrient estimation, nutritional assessment, evaluation, prediction and management. More particularly, the embodiments described herein relate to utilizing an AI-based algorithm that can automatically, detect food items from images acquired by cameras for dietary assessment, dietary planning, and for estimating food waste. In one aspect, the method may include food calorie estimation techniques using machine learning and computer vision techniques for dietary assessment. In another aspect, the tools may apply to personalized nutrition. The method may also include the automation of nutrition planning.

Abstract: A method comprising: obtaining a plurality of data sets, each of the plurality of data sets being generated, at least in part, by using by a different one of a plurality of sensors, each of a plurality of sensors including a wearable sensor that is worn by a user or a sensor that is positioned at a same location as the user; combining the plurality of data sets to produce a fused data set; processing the fused data set to identify at least one of a performance of the user in completing a task, a cognitive load of the user, and/or one or more objects that are positioned at the same location as the user; and outputting an indication of a state of the user based on an outcome of the processing.

Abstract: A system includes a processor and memory. The memory stores a model database including models and a classification database including classification scores corresponding to an input. The memory stores instructions for execution by the processor. The instructions include, in response to receiving a first input from a user device of a user, determining, for the first input, classification scores for classifications by applying the models to the first input. Each model determines one of the classification scores. The instructions include storing the classification scores as associated with the first input in the classification database and identifying the first input as within a first classification in response to a first classification score corresponding to the first classification exceeding a first threshold. The instructions include transmitting, for display on an analyst device, the first input based on the first classification to a first analyst queue associated with the first classification.

Abstract: A system includes a processor and memory. The memory stores a model database including models and a classification database including classification scores corresponding to an input. The memory stores instructions for execution by the processor. The instructions include, in response to receiving a first input from a user device of a user, determining, for the first input, classification scores for classifications by applying the models to the first input. Each model determines one of the classification scores. The instructions include storing the classification scores as associated with the first input in the classification database and identifying the first input as within a first classification in response to a first classification score corresponding to the first classification exceeding a first threshold. The instructions include transmitting, for display on an analyst device, the first input based on the first classification to a first analyst queue associated with the first classification.