Abstract: The present invention is in the technical field of bioinformatics, and the implementation of bioinformatics. Advances in technology have led to a large increase in the rate at which data, in particular in the medical domain, can be generated (from patient sources, clinical trials, and research campaigns). The researcher is thus confronted with a large amount of information, and it is difficult to discover connections in the data, and thus to improve medical knowledge, even in spite of the amount of data available. The present application proposes to process and to structure medical data using a computer-implemented semantic network, enabling undiscovered connections between experiments and data sources to be made, and to continually add new data to the semantic network. In summary, it is proposed to provide a computer-implemented method and associated system which are able to automatically provide neurological knowledge model data by annotating neural connectivity data with further data sources.

Abstract: A computer-implemented method for computing a pathological condition of a subject, comprising obtaining (10) initial cranial image data of a subject from an input interface, and incorporating the initial cranial image data into a knowledge model comprised within a semantic network stored in a memory performing (12), via a processor, at least one processing sequence on the initial cranial image data using the semantic network to thus provide, in the semantic network, at least one element comprising topographical data of the subject's brain, or a portion of the subject's brain, referenced to a reference coordinate system wherein the at least one processing sequence performs at least one state iteration of at least a portion of the semantic network from a first state into a second state comparing (14) the topographical data of the subject's brain to one, or more pathological condition prediction elements of the semantic network to form an indication of a pathological condition of the subject, and generating (16)

Abstract: The present invention is in the technical field of bioinformatics, and the implementation of bioinformatics. Advances in technology have led to a large increase in the rate at which data, in particular in the medical domain, can be generated (from patient sources, clinical trials, and research campaigns). The researcher is thus confronted with a large amount of information, and it is difficult to discover connections in the data, and thus to improve medical knowledge, even in spite of the amount of data available. The present application proposes to process and to structure medical data using a computer-implemented semantic network, enabling undiscovered connections between experiments and data sources to be made, and to continually add new data to the semantic network. In summary, it is proposed to provide a computer-implemented method and associated system which are able to automatically provide neurological knowledge model data by annotating neural connectivity data with further data sources.