About

About

Тhe research of cognitive diseases in patients with a number of neurological disorders is gaining increasing social significance. The affected persons are often of working age and timely and precise diagnosis is an important factor for proper treatment and slowing the progression of the disease.

The aim of CogniTwin is to create a digital twin model for exploration of behavioural changes in patients with proven cognitive disorders by applying Big Data and Artificial Intelligence methods. Such model identifies the causes and trends that lead to a deepening of the long-term cognitive decline. The results will be used to assess cognitive status in a timely manner and suggest appropriate preventive actions of cognitive disorders.

Project info

  • Funding organisation: Scientific Research Fund of Bulgarian Ministry of Science and Education
  • Funding programme: Competition for financial support of basic research projects – 2019
  • Type of research: Fundamental
  • Beneficiary: Sofia university "St. Kliment Ohridski"
  • Duration: 3 years
  • Start date: December 2020
  • End date: December 2023
  • Coordinator of the research team: Assoc. prof. Dessislava Petrova-Antonova

Work Packages

  1. Exploration and analysis of Machine Learning and Artificial Intelligence methods applicable to the field of healthcare with a focus on cognitive disorders;
  2. Exploration and analysis of the current digital models in the field of healthcare.
  1. Assessment of the currently available open datasets and identification of the relevant ones for digital twin modelling of patients with cognitive disorders;
  2. Building of new datasets through structuring of data from additional sources, delivered by stakeholders in healthcare;
  3. Elaboration of ontology for linking of data, needed for development of digital twin models.
  1. Experiments with the collected structured datasets and selection of machine learning algorithms to be applied during the digital twin modelling;
  2. Analysis of the current machine learning libraries and selection of applicable ones to the digital twin modelling;
  3. Development of digital twin model for patients.
  1. Specification of technical and functional requirements to the technological platform;
  2. Automation of the proposed digital twin model;
  3. Application and assessment of the digital twin models for precise diagnosis and adequate treatment of patients with cognitive disorders.
  1. Design and update of web site presenting information about the project and its results;
  2. Presentation of the project’s results in academic community via articles and active participation in national and international conferences;
  3. Inclusion of the results of the project in the curriculums of Master program of Software technologies and Bachelor program of Software engineering at the Faculty of Mathematics and Informatics of Sofia University;
  4. Problems, related to the project, will be used to define topics of research for master thesis and Ph.D. dissertations;
  5. Dissemination of the project’s results in educational and academic communities via participation in national seminars and workshops with representatives from other universities, institutes of BAS and non-profit organizations;
  6. Collaboration with other projects and groups with similar interests in Bulgaria and abroad.
  1. Coordination: The Project Leader informs all work package’s leaders for the progress of the project.
  2. Planning and reporting: The procedure of official reporting includes: internal reports issued every six months, 18-months reports for PHASE 1 and PHASE 2 of the project and a final report.

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