Personalized medicine in practice - preventive treatment of epilepsy. Thanks to advanced mathematical tools and use of machine learning methods, programmers from Transition Technologies build an epilepsy prediction model. Previous cannon of treatment dictated to medicate patient at a time of seizure. After two years of work, a device providing qualification for treatment was build and it was shown that preventive treatment brings benefits. 

In an international EPISTOP project, Transition Technologies was responsible for gathering and cleansing data, and calculation. They establish combined data analysis from many sources, beside a statistic analysis. Speaking of: clinical data about patient, EEG results, MRI, and also genomic, transcriptomic, proteomic and molecular data. 33 terabytes was analyzed for getting most accurate results.