The 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) will take place in Belfast, Northern Ireland, UK from the 2nd to the 5th November. The IEEE International Conference on Bioinformatics and Biomedicine has established itself amongst the leading forums for disseminating the latest research in bioinformatics and health informatics. It brings together academic and industrial scientists from computer science, biology, chemistry, medicine, mathematics and statistics.
An Invitation
We would like to invite you to the workshop Empowering Systems Medicine Through Optimal Computational Modelling.
Submission of papers
Manuscripts should be received by the September 21, 2014.
Background
Developing predictive computational models for biomedical systems has proven highly challenging, partly due to the logistical demands of producing the direct measurements required and partly due to the complexity of inferring the correct information from indirect measurements, often in the presence of noise. Producing sufficiently rich experimental data is expensive and time-consuming and therefore not a priority for most labs. As a result, experimental and computational biology have still not yet combined to meet their full potential and a gap remains between what experimental biology provides by way of data and what computational biology requires. This gap is at its greatest in new areas such as epigenetics where our tools are understanding are still expanding. It is therefore of great importance to address the twin questions of how experimentation can be designed to efficiently generate data suitable for computational studies and how computational models can be designed so as to minimize the data needed. This workshop aims to provide a forum for exploring these twin challenges and for discussing how they can be advanced in biomedical systems. We will take a particular interest in epigenetic regulation amongst other areas.
Topics of interest
This workshop will focus on the themes of computational modeling, experimental design and systems analysis in biomedicine and healthcare. Research areas include, but are not limited to:-
• Biomedical systems modelling, simulation and visualization
• Optimal experimental design and robust experimental design
• Parameter estimation, model simplification and validation in biomedical science
• Imaging and data visualization
• Systems pharmacology
• Systems pathology
• Effective therapeutics development
• Patient cohort variability and personalized-stratified medicine
• Investigating dynamics of complex biological systems/networks
• Multi-scale modelling of complex biological disease systems
• Systems analysis/interpretation of biological mechanisms/phenomena
• Time and Spatial Scales of Epigenetic Phenomena
• Epigenetics Epidemiology
• Signalling pathways and ‘epigenetic triggers’
Registration
Registered access to workshops is provided through the main conference registration. Please click here.
An Invitation
We would like to invite you to the workshop Empowering Systems Medicine Through Optimal Computational Modelling.
Submission of papers
Manuscripts should be received by the September 21, 2014.
Background
Developing predictive computational models for biomedical systems has proven highly challenging, partly due to the logistical demands of producing the direct measurements required and partly due to the complexity of inferring the correct information from indirect measurements, often in the presence of noise. Producing sufficiently rich experimental data is expensive and time-consuming and therefore not a priority for most labs. As a result, experimental and computational biology have still not yet combined to meet their full potential and a gap remains between what experimental biology provides by way of data and what computational biology requires. This gap is at its greatest in new areas such as epigenetics where our tools are understanding are still expanding. It is therefore of great importance to address the twin questions of how experimentation can be designed to efficiently generate data suitable for computational studies and how computational models can be designed so as to minimize the data needed. This workshop aims to provide a forum for exploring these twin challenges and for discussing how they can be advanced in biomedical systems. We will take a particular interest in epigenetic regulation amongst other areas.
Topics of interest
This workshop will focus on the themes of computational modeling, experimental design and systems analysis in biomedicine and healthcare. Research areas include, but are not limited to:-
• Biomedical systems modelling, simulation and visualization
• Optimal experimental design and robust experimental design
• Parameter estimation, model simplification and validation in biomedical science
• Imaging and data visualization
• Systems pharmacology
• Systems pathology
• Effective therapeutics development
• Patient cohort variability and personalized-stratified medicine
• Investigating dynamics of complex biological systems/networks
• Multi-scale modelling of complex biological disease systems
• Systems analysis/interpretation of biological mechanisms/phenomena
• Time and Spatial Scales of Epigenetic Phenomena
• Epigenetics Epidemiology
• Signalling pathways and ‘epigenetic triggers’
Registration
Registered access to workshops is provided through the main conference registration. Please click here.