Konferenzservice Mandl

Zusammenfassung: Our understanding of infectious-disease epidemiology and control has been greatly increased in recent years through mathematical modelling. Insights from this increasingly-important and exciting field are now informing policymaking at the highest levels, for pandemic influenza, SARS, HIV/AIDS, TB, malaria, foot-and-mouth disease and other infections.

This course is the ideal introduction for mathematical modellers who are considering entering this exciting field, and many past participants have been mathematicians. Course teachers have backgrounds in mathematics, physics, statistics, molecular biology, microbiology, and epidemiology, and are highly experienced in multi-disciplinary collaboration. The course emphasises how to express biological and clinical principles mathematically, and how to interpret results from a biological and clinical perspective.

Since 1990, this short course has introduced epidemiological modelling to public-health professionals, policy makers, and medical and veterinary researchers, and kept them up-to-date with what they need to know about this fast-moving field. It is taught by active researchers in the world-leading Department of Infectious Disease Epidemiology, which advises public health agencies, governments, international organisations, and pharmaceutical companies, and hosts the MRC Centre for Outbreak Analysis & Modelling, UNAIDS Epidemiology Reference Group secretariat, Partnership for Child Development, and the Gates Foundation-funded Schistosomiasis Control Initiative that has treated over 12 million children to date in six countries in Africa.

Zusammenfassung: Neuroinformatics 2008 will focus on dissemination of recent progress and community building in this emerging field. The congress is organized as a single track event, with keynote speakers, workshops, poster sessions, and live demos of neuroinformatics applications. Workshop topics include: -Future hardware challenges to scientific computing -Extraction of structural and functional information from brain images -Challenges and benefits of multichannel electrophysiology -Neurogenomics meets bioinformatics meets neuroinformatics in database research

Zusammenfassung: The 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology will mark the 5th year anniversary of this event. The conference will provide an excellent venue to present the latest advances in computational intelligence based methods for bioinformatics, computational biology and bioengineering problems, as well as invaluable opportunities to network with other researchers in this exciting field.

Zusammenfassung: MODSIM WORLD is a unique multi-disciplinary International Conference and Exposition for the exchange of modeling & simulation knowledge, research, and technology across industry, government, and academia.

Zusammenfassung: The Conference on Boundary Value Problems, 'Mathematical Models in Engineering, Biology and Medicine' tries to keep in touch some of the most relevant experts in these fields. It is prepared under the auspices of the International Federation of Nonlinear Analysts and is organized by the Nonlinear Analysis Group of the Department of Mathematical Analysis of the University of Santiago de Compostela.

Zusammenfassung: Computational techniques play an ever increasing role in the fields of Cardiology and Electrophysiology. In this one-day workshop, eminent and promising investigators from Europe and the United States will present their views on the current opportunities and future challenges of computer modeling in electrocardiology. Medical doctors, mathematicians and computational experts, who work in the multidisciplinary area of computational modeling of electrocardiological systems, will share their experiences with you.

Zusammenfassung: The spread of infectious diseases remains a serious medical burden around the world, causing an estimated 15 million deaths each year. The emergence or re-emergence of viruses such as SARS, avian influenza, HIV-AIDS, Lyme disease, West Nile virus, and the evolution of previously known strains which develop resistance to specific drugs represent few examples of the serious problems that public health and medical science research need to address. Next to the tremendous advances in modern medicine and health sciences, epidemic models aided by computer simulations and information technologies represent an increasingly important tool for the understanding of transmission dynamics, and the analysis of epidemic patterns. Thanks to the increased computational power and innovative use of Information and Communication Technologies (ICT), sophisticated modeling approaches informed by realistic and detailed data sets are now feasible and aim at predicting a variety of possible scenarios, evaluating treatment and control strategies, helping and supporting the decision process at the scientific, medical and public health level.

The aim of the Workshop is to bring together experts in the field of infectious disease modeling to compare, evaluate and assess the recent advances reached with the use of sophisticate modeling, computational approaches, and ICT applications, highlighting the results they can provide and the different questions they can address, and bridging with the actual implications from a public health perspective.

Zusammenfassung: To tackle these illnesses, the cooperation of modelers, mathematicians, statisticians, computer scientists, and others, and of researchers from the medical community is absolutely essential. Modeling is important because it gives important insight into the method of treatment. In the case of HIV/AIDS, for example, mathematical modeling indicated that a combination of both protease inhibitors and reverse transcriptase inhibitors would be far more effective than any one of these two drugs. The purpose of this conference is to bring all the people working in the area of epidemiology under one roof and encourage mutual interaction.

Zusammenfassung: This workshop aims at gathering people from various areas dealing with probabilistic aspects of the occurence and the repetition of rare events. The following themes will be covered: Entropy, hitting and return times in ergid theory; Sequence alignment and occurrence of words in biological sequences; Occurrence and matching of patterns in stochastic processes and random fields; Pattern matching and data compression in information theory. There will be three minicourses (ergodic theory, information theory and mathematical biology) and around 15 one hour lectures.

Zusammenfassung: A multitude of biological phenomena are described at multiple levels. What are the commonalities and differences between neuroscience, evolutionary biology, molecular biology and ecology in this regard? How can mathematics help in describing these phenomena?

Zusammenfassung: Following 2 previous Noise in Life meetings in Spain (2006) and Germany (2007), "Noise in Life 2009" will focus on cell signaling, regulation of gene expression and neuronal dynamics. There is a nice balance between these three topics to make for an exciting meeting which will improve our understanding of the emergence of mesoscopic dynamics in cell physiology. We will combine communities from the biosciences, nonlinear dynamics, statistical physics, applied mathematics and scientific computing, and gather together expertise in realistic modeling, multi-scale simulations and experimental biology.

Zusammenfassung: The conference topics cover a broad spectrum including the application of computers to simulate biomedical problems, the design of artificial organs, new therapies, virtual reality in medicine and many others.

Zusammenfassung: The term Sport is interpreted liberally here and includes: Games and pastimes; gambling and on-line gaming; lotteries; and general fitness and health-related activities.

Zusammenfassung: The aim of this programme will be to debate and provide contributions from state of the art mathematical techniques for galvanising the wider research community into focused action on the emerging issues of applying mathematics and computational science to develop multi-scale computational models of physiological systems.

Zusammenfassung: Predicting physiological behaviour from experimental data combined with environmental influences is a compelling, but unfulfilled, goal of post-genomic biology. This undeniably ambitious goal is the aim of the Physiome Project and its subset the Cardiome Project which is an international effort to build a biophysically based multi-scale mathematical model of the heart. To achieve this goal requires further development of the current generation of advanced cardiac models which span an already diverse set of mathematical representations from stochastic sub-cellular regulation models to whole organ based sets of coupled partial differential equations. The focus of this programme will be on the development and application of the mathematical techniques which underpin the ongoing extension of this approach.