Abstract: A system for validating biosensor data, the system comprising: i) means for collecting biosensor data from a subject; ii) means for reproducing subject behaviour and/or physiological activity of the subject and collecting data corresponding with such reproduced behaviour and/or physiological activity; and iii) means for detecting any deviation over time in biosensor data collected from the reproduced activity in (ii) in order to identify and/or correct sensor or software introduced deviations in biosensor data collected from the patient.

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: A system is described for detecting fraud from medical imaging data comprising image data and associated metadata. The system comprises input means arranged to receive image data from at least one source, and processing means arranged to analyze the imaging data to determine whether it meets a fraud criterion, and if it does to generate a fraud indicator output.

Abstract: A system for admitting medical imaging data comprising image data and associated metadata comprises input means arranged to received image data from at least one source, a memory having stored therein consistency data defining at least one consistency criterion, and processing means arranged to analyze the imaging data to determined whether it meets the consistency criterion, and if it does not to amend the imaging data so that it does.

Abstract: A system for admitting medical imaging data comprising image data and associated metadata comprises input means arranged to received image data from at least one source, a memory having stored therein consistency data defining at least one consistency criterion, and processing means arranged to analyse the imaging data to determined whether it meets the consistency criterion, and if it does not to amend the imaging data so that it does.

Abstract: A system is described for detecting fraud from medical imaging data comprising image data and associated meta-data. The system comprises input means arranged to receive image data from at least one source, and processing means arranged to analyse the imaging data to determine whether it meets a fraud criterion, and if it does to generate a fraud indicator output.