Dekut conducts R&D in life sciences in cooperation with Hungarian and international partners. Most of our researchers work for Dekut NPO as a volunteer.

Our research team performs basic and applied research as well, however, we don’t wish to participate in projects of which the aim or the usefulness of the results is undefined, and whose justification is not sufficiently substantiated by clinical, epidemiological or economic arguments.

1.) Research on genomics

The principle of genomics is to examine the genome and gene interactions by bioinformatics methods. One form of bioinformatics databases are the biobanks which contain in addition to the clinical data of a certain group of patients their tissue samples as well. On these tissue samples different molecular biological tests may be made later. The analysis of the emergent databases and the biological interpretation of data are great challenges for researchers. Dekut contributes actively to create biobanks, to generate biochemical databases, and to analyse their data. During the data processing we apply state-of-the-art statistical and data mining methods.

Our researches’ aims on genomics are to create searchable sequence databases and search engines to answer well defined biological questions (for example to search miRNA targets), so as to allow the identification of new therapeutic targets, nucleic acid-based diagnostic tools and medical products.

The main line of basic research project includes disease-specific subprojects, such as our encourage projects on examining regulatory disorders of miRNAs in colon cancer and thrombophiliae.

2.) Health economics

Decision makers in healthcare often face the following problem: there are existing and adequate models in health economics that would enable them to answer specific questions but the relevant data is either missing or unreliable.

Dekut supports the development of innovative and new examination methods as well as the related tools within health economics.

Methodology, toolkit and examination planning for measuring quality of life.

Health economics of patient compliance (including methodology and toolkit for drug compliance monitoring and electronic patient compliance monitoring).

Economics of telemedicine models (toolkit, protocols, fitting telemedicine in the existing system of medical attendance, cost-effectiveness, confidence levels)

Evaluation of medical technologies.