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WORLDCOMP'09/PDPTA'09 Keynote - Professor P. M. A. Sloot
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2009-03-01 00:26
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Sex and the City: Modelling HIV from Molecule to Man
Prof. P. M. A. Sloot Scientific Director of the Institute for Informatics, Professor of Computational Sciences, University of Amsterdam, The Netherlands, Editor-in-Chief, Future Generation Computer Systems (Elsevier Science Publishers) Date: July 13, 2009 Time: 6:00pm - 8:00pm Location: TBA |
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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.
Moreover, ViroLab allows for personalized drug ranking. It is on trial in six hospitals and various virology and epidemiology laboratories across Europe.
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Shan Mei, P.M.A Sloot, Rick Quax, David van de Vijver, Yifan Zhu, 'Complex Agent Networks explaining the HIV epidemic among homosexual men in Amsterdam'. In press. link: http://arxiv.org/abs/0812.1155
Rick Quax, David A. Bader, and Peter M.A. Sloot, 'Simulating Individual-Based Models of Epidemics in Hierarchical Networks' Submitted.
Sloot, P.M.A., Boukhanovsky, A.V., Keulen, W., Tirado-Ramos, A., Boucher, C.A. October 2005 A Grid-based HIV expert system. Journal of Clinical Monitoring and Computing 19 (4-5) : 263-78. ISSN: 11387-1307
Sloot, P.M.A., Chen, F., Boucher, C. 2002 Cellular Automata Model of Drug Therapy for HIV Infection. In S. Bandini, & B. T. Chopard (Ed.), 5th International Conference on Cellular Automata for Research and Industry. 2493, pp. 282-293. Geneva: Lecture Notes in Computer Science.
Sloot, P.M.A, Ivanov, S., Boukhanovsky, A., van de Vijver, D., & Boucher, C. 2008 Stochastic Simulation of HIV Population Dynamics through Complex Network Modeling. Intermational Journal of Computer Mathematics , 85 (8), 1175-1187.
Sloot, P.M.A., Tirado-Ramos, A., Altintas, I., Bubak, M.T. and Boucher, C.A. November 2006 From Molecule to Man: Decision Support in Individualized E-Health. IEEE Computer, (Cover feature) 39 (11), 40-46.
P.M.A. Sloot; P.V. Coveney; M.T. Bubak; A.-M. Vandamme; B. Ó Nualláin; 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.
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Prof. Peter M.A. Sloot studied chemistry and physics, finished his
Computational BioPhysics PhD work at the Dutch Cancer institute did
various postdoctoral contracts abroad. In 1996 he was appointed on the
prestigious chair in Computational Physics from the Dutch Physics
Society and is since 2001 he is a full professor in Computational
Sciences. In his research, he focuses on the theory and application of
complex systems through distributed mesoscopic computer simulation;
trying to understand how information progresses through various spatial
and temporal scales. He is strongly interested in applying his idea’s to
BioMedical systems. Dr. Sloot published over 450 papers in International
Journals.
