460-6027/02 – Biomedicine (BIOMED)
| Gurantor department | Department of Computer Science | Credits | 10 |
| Subject guarantor | prof. MUDr. Jiří Gallo, Ph.D. | Subject version guarantor | prof. MUDr. Jiří Gallo, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory type B |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | FEI | Intended for study types | Doctoral |
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
Seminars
Individual consultations
Project work
Other activities
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.
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).
Additional study materials
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.
Oral exam.
E-learning
Other requirements
The student prepares and presents the work on a given topic.
Prerequisities
Subject has no prerequisities.
Co-requisities
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
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.