WP Leader:  Dr. Jyrki Lötjönen, VTT, Finland

decision support softwareA widely accepted software tool for supporting clinical diagnostics of dementias is not yet available. The lack of such tools has been identified as a major challenge with high impact. This work package develops a software tool that can be used in early differential diagnostics of dementias. There are multiple possible reasons diseases leading finally to dementias, such as Alzheimer’s disease, vascular dementia and frontotemporal dementia. The software tool provides information about how well data measured from a patient fits to data from previously diagnosed cases having these different diseases. In order to enter clinical practice, the tool must be simple to use and provide information that is relevant for making diagnostic decisions.


It is anticipated that research tools generate information, e.g., novel imaging biomarkers, relevant for diagnostics or monitoring of disease progression. On the other hand, the clinical decision support tool can generate information that is relevant for disease modelling purposes. Therefore seamless connectivity of the research and clinical platforms must be guaranteed.


Considering the effectiveness of various treatments (medication & psychosocial care), they should be started as early as possible. If patients first enter the hospital when their memory is already severely affected, the disease is already at an advanced phase and it tends to be late for starting any treatments. Therefore, cost-efficient approaches for detecting high risk patients and channelling them to detailed diagnostics studies at an early phase are welcome. As an alternative to expensive governmental dementia screening programs, citizens should be empowered to screen their own health and risk for certain diseases. This work package will also demonstrate the use of a portal designed for citizens to evaluate their risk of dementias and ways to integrate this portal to the research and clinical platforms.

 

ClinicalPlatform

Decision Support Platform

Work Packages

  • Work Package 1

    Clinical Study Design. Clinical Verification of Models and Platforms
    WP Leader: Dr. Hilkka Soininen, University of Eastern Finland
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  • Work Package 2

    Novel imaging disease biomarkers & methods for model personalization
    WP Leader: Dr. Zeike Taylor, University of Sheffield
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  • Work Package 3

    Data Access & Disease Biomarkers from Large-scale Population Studies
    WP Leader: Prof. Sabastien Ourselin, University College London
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  • Work Package 4

    Genetic, Biochemical and Metabolic Pathways Modelling with Environmental Influence
    WP Leader: Dr. Catrin Bludszuweit-Philipp, ASD, Germany
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  • Work Package 5

    Multiscale Biophysical & Biochemical Modeling: Brai n Substrate and its Evolution
    WP Leader: Prof. Yiannis Ventikos, University College London, UK
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  • Work Package 6

    Multiscale Phenomenological Modelling: Clinical & Environment Factors
    WP Leader: Prof. Wiro Neissen, Erasmus MC, The Netherlands
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  • Work Package 7

    Biomedical Research Platform for Disease Modelling and Model Personalisation
    WP Leader: Dr. Alberto Biancardi, University of Sheffield, UK
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  • Work Package8

    Decision Support Platform for Early Differential Diagnosis & Disease Evolution Assessment
    WP Leader: Dr. Jyrki Lötjönen, VTT, Finland
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  • Work Package 9

    Technology Assessment, Market Analysis and Exploitation
    WP Leader: Dr. Rainer Thiel, Empirica, Germany
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  • Work Package 10

    Technical Management, Communication and Outreach
    WP Leader: Mr. Juan Arenas, University of Sheffield, UK
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