Systems Medicine: Integrative, Qualitative and Computational Approaches

Erscheinungsjahr 2020
ISBN: 978-0-12-816077-0
Verlag: ACADEMIC PR INC

Medienkombination, Englisch, 1589 Seiten, Format (B × H): 215 mm x 276 mm, Gewicht: 2230 g

Technological advances in generated molecular and cell biological data are transforming biomedical research. Sequencing,�multi-omics and imaging technologies are likely to have deep impact on the future of medical practice. In parallel to technological developments, methodologies to gather, integrate, visualize and analyze heterogeneous and large-scale data sets are needed to develop new approaches for diagnosis, prognosis and therapy.

Systems Medicine: Integrative, Qualitative and Computational Approaches is an innovative, interdisciplinary and integrative approach that extends the concept of systems biology and the unprecedented insights that computational methods and mathematical modeling offer of the interactions and network behavior of complex biological systems, to novel clinically relevant applications for the design of more successful prognostic, diagnostic and therapeutic approaches.�

This 3 volume�work features�132 entries from renowned experts in the fields and covers�the tools, methods, algorithms and data analysis workflows used for integrating and analyzing multi-dimensional data routinely generated in clinical settings with the aim of providing medical practitioners with robust clinical decision support systems.

Importantly the work delves into the applications of systems medicine in areas such as tumor systems biology, metabolic and cardiovascular diseases as well as�immunology and infectious diseases amongst others.

This is a fundamental resource for biomedical students and researchers as well as medical practitioners who need to need to adopt advances in computational tools and methods into the clinical practice.

Zielgruppe

<p>Biology and biomedical students, researchers and academics; medical practitioners interested in systems medicine approaches and pharmaceutical industry scientists</p>

Autoren/Hrsg.

Weitere Mitwirkende

Wolkenhauer, Olaf

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien

Inhaltsverzeichnis

1. Data generation techniques 2. Data analysis tools and techniques 3. Biomedical databases and standards 4. Network analysis 5. Tumor biology and oncology 6. Immunology from infectious diseases to autoimmunity 7. Metabolic and cardiovascular diseases 8. Clinical applications 9. Environmental systems medicine 10. Molecular/genetic aspects in systems medicine

Über Autor(innen)

Wolkenhauer, Olaf
Olaf Wolkenhauer has made considerable contributions to popularize the systems biology approach and is the founding editor of the first international journal in systems biology. He received first degrees in control engineering from University of Applied Sciences in Hamburg, Germany and the University of Portsmouth, U.K. in 1994 and his Ph.D. from UMIST in Manchester in 1997. Before moving to Rostock, where he occupies the Chair in Systems Biology & Bioinformatics, he worked as a research lectureship at the Control systems Centre in Manchester, a joint senior lectureship between the Department of Biomolecular Sciences and the Department of Electrical Engineering and Electronics, at UMIST. In April 2009 he received the Pioneer Award of the SPIE organisation for achievements in the field of systems biology. He holds an adjunct professorship at Case Western Reserve University in the US and became in 2005 a fellow of the Stellenbosch Institute for Advanced Study (STIAS). He has coordinated the first FP6 cancer systems biology project COBICS, the STREP SysMed and initiated the Coordination Action CASYM (www.casym.eu). He is a regular advisor to the European Commission and various national funding bodies and has been responsible for several policy papers, including the European Science Foundation Report 35. Olaf Wolkenhauer's research focuses on data analysis, mathematical modelling and computer simulations in the life sciences. The methodologies developed and applied in his Department come from Dynamical Systems Theory (in particular nonlinear differential equations and stochastic approaches) and Mathematical General Systems Theory (for the analysis of multilevel systems).