Abstract: The present invention provides a method of modelling the interaction between different biomarkers or other patient measurements and their progression along the trajectory of a neurodegenerative disease, the method comprising the steps of: a) Obtaining longitudinal biomarker profiles from multiple subjects; b) Storing the longitudinal biomarker profiles in a first memory; c) Using a computer system to perform temporal alignment of the longitudinal biomarker profiles; d) Identifying longitudinal biomarker parameters indicative of a subject at a target neurodegenerative disease stage; e) Applying the longitudinal biomarker parameters to each longitudinal biomarker profile and subject in the memory to define respective parametric models; f) defining a biomarker signature for each subject by combining two or more longitudinal biomarker profiles for that subject; and g) forming a global disease model by combining individual parametric models and biomarker signatures.

Abstract: A system for characterizing a patient as being suitable or non-suitable for treatment of a neurodegenerative disease, the system comprising: a memory for storing data relating to patients, wherein the data includes a plurality of patient specific data types from a first data set and a plurality of patient specific data types from a second data set, different to the first data set; a first data input source for inputting patient specific data into the memory from the first data set and a second data input source for inputting patient specific data into the memory from the second data set; a processor for manipulating and/or combining patient specific data stored in the memory from the first data set and data stored in the memory from the second data set to define an enrichment indicator and compare said enrichment indicator to a pre-determined target indicator and an output for displaying patients whom display enrichment indicators that correlate to the pre-determined target indicator.

Abstract: A smart device for monitoring and capturing patient data and systems, assays and methods of using the device, the smart device comprising a memory for storing a dynamic disease model and patient data, at least one input for receiving patient data and storing such patient data in the memory of the smart device, and a dynamic output driven by the dynamic disease model in response to capture of patient data.

Abstract: The invention relates to a system (100) for segmenting a plurality of objects in image data using simultaneous model-based image segmentation. A surface mesh is adapted to each object to be segmented. To avoid or reduce the possibility of mesh collision, a plurality of connecting edges for connecting two proximal meshes are used. A connection energy defined for the plurality of connecting edges allows controlling the spatial relationship between the first and second mesh. This is achieved by including in the connection energy expression terms that will increase the connection energy when the lengths of edges of the plurality of connecting edges connecting the first and second mesh decrease. Using the reference configuration of the plurality of connecting edges defined based on the pre-positioned first and second mesh allows taking into account prior knowledge about a typical spatial relationship between the first and second object of the plurality of objects.

Abstract: A method of processing medical images, performed by a computer processor and comprising the steps of: (a) obtaining one or more atlases containing one or more images in which one or more anatomical features have been labelled with label data; (b) obtaining a plurality of unlabelled images; (c) comparing the labelled and unlabelled images and selecting one or more unlabelled images that most closely resemble(s) one or more of the labelled images; (d) to each of those selected image(s), propagating label data from one or more of the closest of the labelled images, thereby labelling the corresponding anatomical feature(s) of each of the selected image(s) and causing the selected image(s) to become labelled image(s); and (e) iteratively repeating from step (c), thereby labelling others of the unlabelled images.

Abstract: The invention relates to a system (100) for segmenting a plurality of objects in image data using simultaneous model-based image segmentation. A surface mesh is adapted to each object to be segmented. To avoid or reduce the possibility of mesh collision, a plurality of connecting edges for connecting two proximal meshes are used. A connection energy defined for the plurality of connecting edges allows controlling the spatial relationship between the first and second mesh. This is achieved by including in the connection energy expression terms that will increase the connection energy when the lengths of edges of the plurality of connecting edges connecting the first and second mesh decrease. Using the reference configuration of the plurality of connecting edges defined based on the pre-positioned first and second mesh allows taking into account prior knowledge about a typical spatial relationship between the first and second object of the plurality of objects.