Abstract: Methods of producing flavor cheese products involve adding an adjusted milk composition to a fermentation tank having least one of a reduced protein-to-fat ratio or a reduced lactose-to-fat ratio relative to a starting milk composition; fermenting the adjusted milk composition in the fermentation tank to cause in situ production of lactic acid, where the adjusted milk composition is free of rennet; transferring the fermented adjusted milk composition; adding a lipase, a protease or both to the composition having a temperature of about 60 °F to 98 °F; evaporating water therefrom at a temperature of about 80 °F to 120 °F to form a cheese composition; and curing the cheese composition for a curing period of about 3 to 6 weeks at a temperature between about 38 °F to 75 °F. Enzymatic activity of the added lipase, protease or both is maintained through the curing period to form the flavor cheese product.

Abstract: Systems and methods for dynamic prediction related to a medical device. A system includes a predictor including computing hardware of at least one processor and memory for the at least one processor; and instructions that, when executed on the predictor, cause the predictor to implement: an input/output engine to receive data from a plurality of distributed data sources, an aggregation engine to assemble the data received by the input/output engine, a prediction engine to generate a prediction based on a benchmark assessment related to the medical device, and an alerting engine to communicate an alert based on the prediction.

Abstract: Systems and methods for dynamic prediction related to a medical device. A system includes a predictor including computing hardware of at least one processor and memory for the at least one processor; and instructions that, when executed on the predictor, cause the predictor to implement: an input/output engine to receive data from a plurality of distributed data sources, an aggregation engine to assemble the data received by the input/output engine, a prediction engine to generate a prediction based on a benchmark assessment related to the medical device, and an alerting engine to communicate an alert based on the prediction.