Abstract: A system is provided for generating machine learning-based associations for electronic data records. In particular, the system may access one or more relevant databases and use machine learning algorithms to automatically generate associations between certain concepts based on the contents and/or hierarchical structures of such databases. The system may further intelligently calculate weight values for each of the associations that may represent the strength of the relatedness or relevance between concepts. Once the associations are generated, the system may, in response to a query for information related to a certain concept, generate and provide a context-relevant view of the concept to the user. In this way, the system provides an efficient way to correlate information within electronic data records.

Abstract: A system is provided for encoding genomics data for secure storage and processing. In particular, the system may comprise a client and server operating environment that uses a unique encoding algorithm to transform genomics data and/or metadata to produce encoded genomics data and/or metadata. In some embodiments, the encoded genomics data and/or metadata may be encrypted using one or more encryption algorithms. The encoded and/or encrypted genomics data may be stored on a secure server (e.g., a cloud environment) that may perform subsequent processing steps on the encoded and/or encrypted genomics data. Once the processing steps have been completed, the server may transmit one or more outputs associated with the genomics data and/or metadata to a client device. In this way, the system provides an efficient and secure way to store and process genomics data.