Virtualized computing platform for inferencing, advanced processing, and machine learning applications

A system comprising:

• a virtual instrument including an advanced processing pipeline selectively customized for processing imaging data generated for a device, the advanced processing pipeline to execute a discrete instantiation of an application for performing one or more operations on the data;
• a service manager to route processing requests to services, the processing requests received from the virtual instrument to cause one or more of the services to perform one or more operations for the instantiation of the application;
• and
• an data communication interface to receive the data from a computing system communicatively coupled to the device, input the data to the data deployment pipeline, receive processed data as an output of the data deployment pipeline, and transmit the processed imaging data to the computing system.

A method comprising:

• receiving an input corresponding to a selection of a neural network from a model registry, the neural network trained using first data generated at least one first facility;
• based at least in part on the selection, receiving the neural network at a second facility remote from the at least one first facility;
• receiving second data generated by one or more imaging devices at the second facility;
• generating ground truth data corresponding to the second data;
• retraining the neural network using the second data and the ground truth data to generate an updated neural network;
• and
• deploying the updated neural network for use with a containerized instantiation of an application of an data deployment pipeline, the containerized instantiation of the application performing one or more processing tasks on third data generated by at least one of the one or more imaging devices or other imaging devices at the second facility.