Dynamic adjustment of algorithms for separation and collection of blood components

A data processing system configured to communicate with a plurality of blood separation device controllers each programmed with a blood separation algorithm for executing a blood separation procedure in which an initial target amount of blood from a blood source is separated so as to collect a target yield of a target blood component, wherein the data processing system is configured to

• access or receive results for a plurality of blood separation procedures executed by at least one of said plurality of blood separation device controllers, with each of said results including an actual yield of said target blood component and/or a difference between a blood characteristic before and after execution of said blood separation procedure;
• determine a correlation between said target and actual yields and/or said differences between the blood characteristic before and after execution of said blood separation procedure for a subset of said results so as to determine an adjusted amount of blood to be separated when subsequently executing said blood separation procedure and/or a scaling factor to be applied to said blood separation algorithm so as to separate the adjusted amount of blood when subsequently executing said blood separation procedure;
• and
• transmit a signal based on said correlation to at least one of said blood separation device controllers, with the signal being configured to modify said blood separation algorithm so as to separate the adjusted amount of blood when subsequently executing said blood separation procedure, with the data processing system being configured to employ machine learning techniques so as to minimize a mean squared error when correlating said target and actual yields and/or said differences between the blood characteristic before and after execution of said blood separation procedure.