Cerebrovascular disease and stroke represent a leading cause of death and disability worldwide. Despite major progress in understanding its etiology, cerebrovascular disease burden is on the rise.

Modern technologies offer unprecedented opportunities for deep phenotyping: genomic sequencing, pathology, omics biomarkers, extensive imaging. At the same time, a revolution in computational science allows the integration of the massive amounts of the generated data with artificial intelligence methods, enabling novel biological insights and more accurate risk assessment for each individual.

We use large-scale and multi-dimensional data from epidemiological studies and human biobanks (genomics, transcriptomics, proteomics, imaging) and apply bioinformatic tools to inform precise and personalized prevention strategies.