460-6027/02 – Biomedicine (BIOMED)

Gurantor departmentDepartment of Computer ScienceCredits10
Subject guarantorprof. MUDr. Jiří Gallo, Ph.D.Subject version guarantorprof. MUDr. Jiří Gallo, Ph.D.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFEIIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
DYS0006 Mgr. Tereza Dýšková, Ph.D.
FIL0152 Ing. Regina Fillerová, Ph.D.
GAL0151 prof. MUDr. Jiří Gallo, Ph.D.
KRI0203 doc. Dr. Ing. Eva Kriegová
MIK0424 Mgr. Zuzana Mikulková, Ph.D.
SCH0341 Mgr. Petra Schneiderová
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 28+0
Part-time Examination 28+0

Subject aims expressed by acquired skills and competences

The aim of the course is to deepen students' knowledge in the field of biomedicine, especially in understanding Interconnection of experimental medicine and molecular and cellular biology methods, new methods for precision medicine and analysis of (patho) physiological processes. In addition, this knowledge and skills will be further enhanced in a direction that is in line with the specific focus of its Ph.D. studies and dissertation work.

Teaching methods

Individual consultations
Project work
Other activities


Students will be acquainted with a multidisciplinary approach that combines modern aspects of medical and biological sciences with computer science. They will gain knowledge about the functioning of cells, tissues, organs, regulatory systems. They will be acquainted with the pathogenesis of some serious diseases in the context of modern immunology of inflammation, respectively, inability to dampen it. They will understand the importance of / limits of prediction models, collection and analysis of demographic, clinical and laboratory / imaging data. Students will also learn how to work with the big data offered by health care registers.

Compulsory literature:

• Zvárová J. et al. Data a znalosti v biomedicíně a zdravotnictví (2010), Karolinum, Praha. • Zvárová J. et al. Metody molekulární biologie a bioinformatiky (2012), Karolinum, Praha. • Jenkins S.H. Ako funguje veda (2012), PRO, Banská Bystrica. • Liang K-H. Bioinformatics for Biomedical Science and Clinical Applications (2013), Woodhead Publishing, Cambridge • Hedley Glencross et al. Biomedical Science Practice: experimental and professional skills (Fundamentals of Biomedical Science), (2010). • Deisboeck T.S. and Kresh Y. Complex systems science in biomedicine (2006), Springer US, Boston

Recommended literature:

• Chao Lin. Biomedicine. IntechOpen. (2012).

Way of continuous check of knowledge in the course of semester

Continuous monitoring of study activities and assigned tasks during regular consultations. If some publication activity will be a part of the student's tasks, the relevant article would be presented in the course.


Other requirements

The student prepares and presents the work on a given topic.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

• Use of natural science principles in clinical practice • Interconnection of experimental medicine and molecular and cellular biology methods • Basics of human genome, transcriptome, proteome, physiome and metabolome studies • New technologies for prediction, diagnostics and therapy • Understanding molecular interactions and signaling pathways of (patho) physiological processes and their implications at in vivo level • Processing big data from health registers and application of acquired knowledge in clinical practice

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (P0588D140004) Bioinformatics and Computational Biology P English Ostrava Choice-compulsory type B study plan
2020/2021 (P0588D140004) Bioinformatics and Computational Biology K English Ostrava Choice-compulsory type B study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner