The main goal of the project is to develop methods, algorithms and tools that support risk prediction, diagnosis and treatment of cognitive diseases and in particular Alzheimer’s disease.


The project is implemented through successful cooperation with leading universities at the international level such as Yale, Oxford, Stanford and Chalmers, as well as with the support of medical professionals in Bulgaria.


The expected results from a research point of view are related to finding new classifications of patients with Alzheimer’s disease, developing models for predicting a cognitive decline, identifying structural variants of DNA in patients with Alzheimer’s disease, defining the necessary sample sizes in the planning of RNA research, development of optimal methods for finding genes that could be associated with Alzheimer’s disease, as well as methods for filling in missing data. Practitioners are expected to develop tools to facilitate the diagnosis, monitoring and treatment of patients with Alzheimer’s disease or people predisposed to it.
The developed methods, algorithms and tools can subsequently be integrated into an omix analytical model.