Abstract: Human Immunodeficiency Virus (HIV) is recognized to be one of the most destructive pandemics in recorded history. Effective highly active antiretroviral therapy (HAART) and the availability of genetic screening of patient virus data, has led to sustained viral suppression and higher life expectancy in patients who have been infected with HIV. The sheer complexity of the disease stems from the multi-scale and highly dynamic nature of the system under study. The complete cascade from genome, proteome, metabolome and physiome to health forms a multidimensional system that crosses many orders of magnitude in temporal and spatial scales. Understanding, quantifying and handling this complexity is one of the biggest challenges of our time, which requires a highly multidisciplinary approach. In order to supply researchers with an interactive framework and to provide the medical professional with appropriate tools and information for making a balanced and reliable medication decision, we have developed “ViroLab”, a collaborative decision support system (www.virolab.org). ViroLab contains computational models that cover various spatial and temporal scales from atomic level interactions in nanoseconds up to sociological interactions on the epidemiological level, spanning years of disease progression. ViroLab allows for personalized drug ranking. It is on trial in seven hospitals and various virology and epidemiology laboratories across Europe. Biography: Peter Sloot is Professor of Computational Sciences, University of Amsterdam, The Netherlands, and Editor-in-Chief of The Journal of Computational Science and of Future Generation Computer Systems (Elsevier Science Publishers). For more information on the invited speaker please visit: http://staff.science.uva.nl/~sloot/. For more information on the talk please see these papers: - P.M.A. Sloot; P.V. Coveney; G. Ertaylan; V. Müller; C.A.B. Boucher and M.T. Bubak: HIV Decision Support: From Molecule to Man, Phil. Trans. R. Soc. A, vol. 367, nr 1898 pp. 2691-2703. 2009. (DOI:10.1098/rsta.2009.0043). - A.M. Shan; P.M.A. Sloot; R. Quax; Y. Zhu and W. Wang: Complex Agent Networks explaining the HIV epidemic among homosexual men in Amsterdam, Mathematics and Computers in Simulation, (in press), 2010. - P.M.A. Sloot and A.G. Hoekstra: Multi-scale modelling in computational biomedicine, Briefings in Bioinformatics. Oxford University Press, Dec 2009. (DOI: 10.1093/bib/bbp038). - P.M.A. Sloot; S.V. Ivanov; A.V. Boukhanovsky; D.A.M.C. van de Vijver and C.A.B. Boucher: Stochastic simulation of HIV population dynamics through complex network modelling, International Journal of Computer Mathematics, vol. 85, nr 8 pp. 1175-1187. Taylor & Francis, 2008. (DOI: 10.1080/00207160701750583). - P.M.A. Sloot; P.V. Coveney; M.T. Bubak; A.-M. Vandamme; B. Ó Nuall áin; D. van de Vijver and C.A.B. Boucher: Virolab: A Collaborative Decision Support System in Viral Disease Treatment, Reviews in Antiviral Therapy, vol. 3, pp. 4-7. Virology Education, 2008. ISSN 1872-437X.