Projects number 6
INTERIOR

INCONET-GCC2-Science, Technology and Innovation International Cooperation

INCONET-GCC2-Science, Technology and Innovation International Cooperation

About The Project

FP7- Collaborative Project Targeted to a special group, Grant agreement no: 609521, funded by European Union and National Resources, University of Thessaly, Principal Investigator Prof. A. Korakis.

Role in the project: Researcher with main contribution on “Continuation Plan of Results of INCONET-GCC2-M36”.

OACTIVE

OACTIVE: Advanced personalised, multi-scale computer models preventing OsteoArthritis

OACTIVE: Advanced personalised, multi-scale computer models preventing OsteoArthritis

About The Project

Topic: SC1-PM-17-2017: Personalised computer models and in-silico systems for well-being, RIA action, σε συνεργασία με το ΕΘΝΙΚΟ ΚΕΝΤΡΟ ΕΡΕΥΝΑΣ & ΤΕΧΝΟΛΟΓΙΚΗΣ ΑΝΑΠΤΥΞΗΣ / ΕΚΕΤΑ (CERTH).

Role in the project: Development of data mining techniques for knowledge discovery using interpretable rule-based models to provide insights for the understanding of OA disease development and its progression. Identification of patient-specific significant risk factors associated with the onset as well as factors related to OA progression using computational efficient Feature Selection algorithms.

Design and implementation of personalized predictive Decision Support (DS) models that address specific OA stages in the disease continuum of a patient (DS-early, DS-mild, DS-mod and DS-treat).

UI / UX

PROJECT TITLE

PROJECT TITLE

About The Project

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dignissim nulla tellus, sed pellentesque libero pellentesque et. Donec nec sem mattis, suscipit ligula id, porttitor tortor. Maecenas sed egestas odio, vitae euismod nulla. Duis viverra blandit mi quis rhoncus. Aenean vitae turpis et tortor elementum blandit

UI / UX

PROJECT TITLE

PROJECT TITLE

About The Project

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce a auctor sem. Suspendisse egestas nulla eget nunc commodo, et blandit ante tristique. Aliquam dignissim nulla tellus, sed pellentesque libero pellentesque et. Donec nec sem mattis, suscipit ligula id, porttitor tortor. Maecenas sed egestas odio, vitae euismod nulla. Duis viverra blandit mi quis rhoncus. Aenean vitae turpis et tortor elementum blandit.

dignissim nulla tellus, sed pellentesque libero pellentesque et. Donec nec sem mattis, suscipit ligula id, porttitor tortor. Maecenas sed egestas odio, vitae euismod nulla. Duis viverra blandit mi quis rhoncus. Aenean vitae turpis et tortor elementum blandit

OACTIVE

OACTIVE

OACTIVE

About The Project

Role in the project: Development of data mining techniques for knowledge discovery using interpretable rule-based models to provide insights for the understanding of OA disease development and its progression. Identification of patient-specific significant risk factors associated with the onset as well as factors related to OA progression using computational efficient Feature Selection algorithms.

Design and implementation of personalized predictive Decision Support (DS) models that address specific OA stages in the disease continuum of a patient (DS-early, DS-mild, DS-mod and DS-treat).

INTERIOR

PROJECT TITLE

PROJECT TITLE

About The Project

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce a auctor sem. Suspendisse egestas nulla eget nunc commodo, et blandit ante tristique. Aliquam dignissim nulla tellus, sed pellentesque libero pellentesque et. Donec nec sem mattis, suscipit ligula id, porttitor tortor. Maecenas sed egestas odio, vitae euismod nulla. Duis viverra blandit mi quis rhoncus. Aenean vitae turpis et tortor elementum blandit.

dignissim nulla tellus, sed pellentesque libero pellentesque et. Donec nec sem mattis, suscipit ligula id, porttitor tortor. Maecenas sed egestas odio, vitae euismod nulla. Duis viverra blandit mi quis rhoncus. Aenean vitae turpis et tortor elementum blandit