Programme: Science and Education for Smart Growth

Pregnancy complications and miscarriage are the leading causes for fetal and maternal morbidity and mortality. The complexity of pregnancy outcome prediction requires the search for novel methods of analysis of the available medical data and identification of early diagnostic and prognostic markers. Medical centers for reproductive health operate with distinct sets of data but not an integrated database containing uniform information of the genetic, phenotypic, metabolic, etc. of pathological pregnancy of Bulgarian patients. The innovative potential of the present project constitutes in development of a unique integrated database of patients with reproductive problems, on the basis of sets of pathological pregnancy data sourced from various Bulgarian medical and research institutions. The integration of parameters related to the maternal clinical history, the current status, laboratory indices and biophysical characteristics of blood would allow assessment of the interrelations between the distinct factors and identification of new markers of early prediction of the risks related to pregnancy complications. The application of innovative mathematical and informatics approaches will enable to processing of a large number of functions, respectively, discovery of interrelations that remain hidden in the conventionally applied methods. As a result, it is envisaged to outline new biomarkers and prognostic factors for the existence of conditions for pregnancy unfavorable course. An open source web-based application will be developed, that will enable access to the database and analysis if the interrelations between the various factors that it comprises. The application will be provided as an open source regarding the interface design and the organization of the relations between the separate embedded modules, and will provide an intuitive interface user friendly for the medical staff involved and the researchers in the field of biomedicine.