How Does Machine Learning Contribute to Human Health Research
During this webinar, a few examples where machine learning has validated and discovered interesting associations for cases pertaining to human health will be presented.
Dr. Jacques Corbeil’s research team focuses on algorithms that generate parsimonious and interpretable models.
*The webinar will be presented in French.
Featured project
The discovery of antimicrobial agents was one of the great triumphs of the 20th century. The sobering news is that antibiotic resistance was part of the process as well. If nothing is done by 2050, antimicrobial resistance (AMR) will cost $100 trillion with 10M people/year expected to die (https://amr-review.org). Factors driving AMR extend beyond human healthcare with implications in veterinary medicine, agriculture and the environment (the One Health approach).
