Abstract: Active Design maintains overall active and inactive space of a display by scaling active display components on a screen according to active and inactive blocks. By scaling the blocks relative to the screen size and maximizing active display components for ‘best-fit’ within the scaled blocks, a predictable scaling system is created that can deliver a more consistent experience for users across multiple form-factors. Active Design allows designers to use a single base display resolution for an entire class of form-factors and uses grid blocks to arrange elements.

Abstract: The present disclosure includes systems and a methods for ingestion and processing of data in large volumes and varied data models. The system consists of a data intake adapter, tagging service, relation service, query service, persistence service and physical storage medium. The data intake adapters are implemented to support required data formats and models. The invention includes a method enabling assignments of tags to any data element that can be referenced in the system, including in some embodiments tables, rows, columns, data points, nodes, vectors, lists or other types. The invention further includes a method of data representation for tags data using hash tree data structures. The disclosure also includes a relations mechanism and service that is capable of defining relations between data elements. The disclosed system includes also a query service that leverages the internal data structures to provide efficient lookup and retrieval methods supporting vast range of analytical use cases.

Abstract: Active Design maintains overall active and inactive space of a display by scaling active display components on a screen according to active and inactive blocks. By scaling the blocks relative to the screen size and maximizing active display components for ‘best-fit’ within the scaled blocks, a predictable scaling system is created that can deliver a more consistent experience for users across multiple form-factors. Active Design allows designers to use a single base display resolution for an entire class of form-factors and uses grid blocks to arrange elements.

Abstract: A patient data management (“PDM”) system is disclosed herein. The PDM can provide doctors with an efficient and accurate means to extract medical diagnostic and treatment information from multi-perspective time based medical data. Further, the PDM provides a means to reduce computer processing time when training a neural network using medical data. In one aspect, a PDM system includes a preprocessor. The preprocessor receives patient data from a computer interface. In one non-limiting example, the preprocessor uses machine learning to extract patterns (“features”) from the data. The preprocessor formats the extracted features into a multidimensional tensor. In one non-limiting example, the PDM system includes a convolutional neural network (“CNN”). The preprocessor provides the tensor to the CNN. The CNN processes the tensor and extracts diagnostic and treatment information.