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Biomedicine

Summary

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.

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

Advised literature

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


Language of instruction čeština, angličtina
Code 460-6027
Abbreviation BIOMED
Course title Biomedicine
Coordinating department Department of Computer Science
Course coordinator prof. MUDr. Jiří Gallo, Ph.D.