Fighting dementia with allies Artificial Intelligence and Machine Learning
With the use of Artificial Intelligence (AI) and Machine Learning Technologies, the scientists of the Technology and Research Foundation are trying to achieve early detection and combating the parameters that cause dementia, as a partner of the European project LETHE.
The project, which started in January 2021, is estimated to last 4 years and is financed within the framework of the EU research and innovation program, "Horizon 2020" with Scientific Manager Prof. Dimitrios Fotiadis, head of the Medical Technology and Intelligent Informatics Unit of Systems of the Institute of Molecular Biology and Biotechnology, in collaboration with Prof. Manolis Tsiknakis, head of the Computational Biomedicine laboratory of the Institute of Informatics.
More specifically, the user uses various wearable devices that monitor physical activity and heart function and interact with innovative mobile applications and Artificial Intelligence robots that monitor cognitive function, nutrition, relaxation, and social interaction. According to Mr. Fotiadis, these systems collect information directly from the user and with machine learning algorithms, transfer and convert the information into digital biomarkers, which are used for early identification and elimination of symptoms and risk factors in patients who are in an early stage. stage.
This application is based on the results of research, studies, and clinical data collected over the last 10 years, such as the Memento, PredictND, and FINGER studies, which proved that dementia prevention in vulnerable people is possible by intervening in various aspects of how lives of these individuals. In the context of the LETHE project, the results of the above research are being developed into a new digital model (FINGER 2.0) using state-of-the-art artificial intelligence and machine learning technologies. The combination of these constitutes a method used to devise complex models and algorithms that lead to the prediction of the required parameters.
Mr. Fotiadis expresses his wish for this application to be used and widely accessible to the population that needs it.
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