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    Branch programme/details

    Biomedical Informatics (0988VD350008)

    Faculty: Second Faculty of Medicine
    Study programme: Biomedical Informatics (P0988D350008)
    Form of study: full-time
    Type of study: doctoral
    Language of instruction: English
    Standard length of study: 4 years
    Application type: Online

    • You cannot apply for study of this programme/branch now.

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      Application submission date: 30.04.2022
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      Biomedical informatics is a rapidly developing field whose content matter is, above all, the use of computers and information technologies (IT), system approach, statistics and epidemiology and mathematical methodologies in medicine.
      Biomedical informatics is experiencing permanent development, and at present it is focused on these major problem areas: the area of support to clinical decision-making, biomedical statistics, robotics, computer modelling, image processing; and the area of medical information systems. In clinical medicine it means the following areas: clinical computing, analyses of images, issues of biosignal, computer modelling, artificial intelligence (including expert systems), support of decision-making, issues of statistics and biometrics, classification in medicine, computers in operating the devices, robotic and artificial organs. In the areas of information system, the issues of their implementation in health care settings are tackled as well as specific questions of data protection and ethical problems and creation of hospital information systems. In the areas of theoretical medicine, it is mainly about modelling of physiologic functions and issues of bioinformatics.

      The program is carried out without any specialization.
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      The admission examination is held in the form of interview before a board and it checks the student’s capacity for scientific work in the given field and his/her capacity to complete the studies. Criteria evaluated by the board are following:

      a. Quality of the topic and project of the dissertation thesis and the way of its presentation, proposal of the supervising tutor/consultant and financial coverage of the project – max. 30 points.
      b. Previous scientific activity in this field (publications, presentation in a Student Scientific Conference, etc.) – max. 20 points.
      c. Knowledge of this field in the extent of the master study – max. 50 points.

      Required minimum score for acceptance: 60 points.
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      Admission to Doctoral studies is conditioned by successful completion of a Master's study programme.

      Verification method: entrance exam
      Confirmation date (of entrance exam) from: 01.06.2022 Until: 30.06.2022
      Alternative date (of entrance exam): 01.07.2022 Until: 31.07.2022
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      Readings are recommended by individual potential supervisors, and are based on professional issues of the potential dissertation and the chosen particular discipline. In particular, monographs and respected IF magazines. Suggested literature and resources can be viewed within the profiles of the specific supervisors.
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      A graduate of the Doctoral Program Biomedical informatics acquired a comprehensive education aiming to achieve transdisciplinary research excellence (i) in informatics (ii) in biomedical applications of informatics. He or she gained advanced knowledge and skills in information science, system science, analysis of images and biosignals, information systems, mathematical modelling and in biostatistics. Graduate is able to apply this knowledge in e- health, medical imaging, bioinformatics, in design and analysis of clinical trials, in optimalization of control processes in health care and healthcare economics. Graduate of a doctoral program gained a deep understanding of the field and its anchoring in theory, practice and its interventions, in the context of health care and biomedical research.
      The combination of these pillars of study will provide graduates with a program of expertise in transdisciplinary research applied to clinical evaluation and effectiveness assessment. This makes program graduates well prepared for the needs of science and research, as well as expert positions in the public and private sectors. Their transdisciplinary backgrounds enable them to work with colleagues from a wide range of disciplines, communicate the results of their research to managers and decision-makers at inter-departmental level, and take leadership positions at a high level of expertise.