Subventions et des contributions :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2020-2021)

Bacterial infections cause millions of infections and take tens of thousands of lives every year,x000D
and without antibiotics the death toll would skyrocket. Unfortunately, antibiotics are rapidlyx000D
becoming less effective due to the evolution of resistance. On top of this, doctors often have ax000D
difficult time identifying what drugs will be most effective against infecting pathogens a timelyx000D
manner. For these reasons there is desperate need for new antimicrobial diagnostic methodsx000D
that can rapidly provide physicians accurate information to guide their treatments. One veryx000D
promising new approach to this problem is to sequence the genomes of the infectingx000D
pathogens and use this information predict how they will respond to treatment. We propose tox000D
produce genome sequence data and use sophisticated genome-wide association andx000D
predictive modeling methods to develop a new antimicrobial diagnostic tool. We willx000D
specifically focus on stopping a bacterial pathogen called Pseudomonas aeruginosa thatx000D
causes a disproportionate number of hospital infections and deaths. We will work inx000D
collaboration with our partners at the Hospital for Sick Children in Toronto to generate thisx000D
state-of-the-art diagnostic tool and then develop procedures to move it into the clinic. Thex000D
success of this project will speed diagnosis, improve patient care, reduce healthcare costs,x000D
and enhance stewardship of antibiotics; thereby, preserving their efficacy for the future.