This team uses mathematics to further the understanding of cardiac arrhythmias and to develop new methods to predict which patients are at risk for arrhythmias and methods for their control. In the past year systems were developed to analyze changes in the electrical properties of heart tissue.

Project leader: Dr. Leon Glass, McGill University & Dr. Edward Vigmond, University of Calgary

Using statistical modelling and analysis, this team aims to discover and characterize genes that influence susceptibility to disease and lead to a better understanding of how genes function, resulting in the development of new approaches to the diagnosis and treatment of common diseases.

Project leader: Dr. Shelley Bull, University of Toronto

Assembled at the height of the SARS outbreak in 2003, this project develops a variety of modeling templates designed to fit different types of disease dynamics and management.

Project leader: Dr. Jianhong Wu, York University

The next step of work in this project is to create a unique and inventive interface between biology and statistics, as it is clear that genomic and statistical research must go hand in hand, each informing the other based on sound principles with the common goal of obtaining answers closer to the objective truth than either could not have achieved alone.

Project leader: Dr. Laurent Briollais, University of Toronto

In this project the research team is exploring algorithmic methods for assembling genomes with di-base sequencing data, generated by AB SOLiD sequencing machines, and use it to assemble genomic sequences.

Project leader: Dr. Michael Brudno, University of Toronto

The goal of the MITACS-funded research program on reverse-engineering cellular complexity is to develop new mathematical tools and algorithms for analyzing genetic switching networks.

Project leader: Dr. Mads Kaern, University of Ottawa

The research team is focusing on oral chemotherapy where concerns about compliance have become an important issue. As the project progresses, similar issues in the treatment of high cholesterol and glaucoma will be studied.

Project leader: Dr. Fahima Nekka, Université de Montréal

Mathematical modelling can be used to help scientists decipher the processes at work in complex diseases at a molecular, cellular and organ level.

Project leader: Dr. Daniel Coombs, University of British Columbia

This team uses mathematics to understand the information processing of cellular signaling systems.

Project leader: Dr. Peter Swain , McGill University

The team conducted in vivo research at a farm in Quebec, correlating the social status of pigs with the proximity to feed source and related exposure to antibiotics.

Project leader: Dr. Fahima Nekka, Université de Montréal

This project team seeks to develop and apply operations research methods to improve the management of health care systems.

Project leader: Dr. Martin Puterman, University of British Columbia

This project aims to develop state-of-the-art computational methods for predicting structure of bio-molecules, and for annotating new functional RNAs.

Project leader: Dr. Anne Condon, University of British Columbia

This team worked to develop a framework in 3D using lie algebra that will enable the combination of MRI, Optical and EEG imaging techniques to provide doctors with a comprehensive image of the human brain.

Project leader: Dr. Jiri Patera, Université de Montréal

The team focussed on oncology applications of mathematical modelling including chemotherapy drug design and computational testing, radiation therapy optimization, tumour growth models and image analysis, molecular models of cell division and bioinformatics data mining for gene mutations and markers for specific cancers.

Project leader: Dr. Jack A. Tuszynski, University of Alberta

The goals of this project included the development of mathematical software to yield conductivity images from experimental data on tissue phantoms, the development of a new imaging algorithm based on radio frequency currents and the development of software for imaging anisotropic conductivities.

Project leader: Dr. Adrian Nachman, University of Toronto