Over the past several decades, the scope of decision-making in the public domain has changed from a focus on unilateral regulatory verdicts to a more comprehensive process that engages all stakeholders. Consequently, there has been a distinct increase in public participation in the environmental decision-making process. While the potential benefits of public engagement are substantial […]

International Financial Consulting Ltd. (IFCL) is a leading Canadian consultancy, well established in enhancing development finance in Canada and globally through strategy work, particularly with National Development Banks (NDBs). Our partnership with Mitacs and McGill University to support a Business Strategy Internship would allow us to innovate and refine our current business model, marketing approach […]

MediLumine Inc. is a Montreal-based biotech company dedicated to the sale of 3D in vivo imaging contrast reagents and corresponding image analysis software. MediLumine is seeking to innovate their marketing strategies by developing an effective customer interaction network to allow for improved customer satisfaction and retention. As business moves towards a more virtual and automated […]

Fee calculation engine is a tool that is utilized for fee assignment of the investors in financial advisory companies. The assigned fees for the clients can be miscalculated by the advisors. An AI-based monitoring system can reduce the mistakes in the fee calculation by comparing a new assessed fee with the previous assignment. To this […]

Synthetic population generation is the process of combining multiple socioeonomic and demographic datasets from various sources and at different granularity, and downscaling them to an individual level. Although it is a fundamental step for many data science tasks, an efficient and standard framework is absent. In this project, we propose a multi-stage framework called SynC […]

The over-arching goal of the project is to explore the use of several recently developed self-supervised image representation learning methods in an attempt to improve performance across several biologically relevant benchmarking tasks at Recursion. At recursion, deep-learning based models are used to generate feature embeddings for our imaging data and these embeddings to generate downstream […]

L’innovation sociale proposée consiste à apporter aux jeunes ayant des difficultés un soutien à la compréhension et à l’effort cognitif en lecture en appliquant la technologie FROG-(FRee yOur coGnition) à une nouvelle bibliothèque de livres numériques d’auteurs québécois. Aucun outil technologique équivalent n’est actuellement offert au Québec. Le présent projet vise à adapter cette application […]

Honest Empathy Innovations Inc. aims to build sustainable mental healthcare solutions with groundbreaking development and innovation in machine learning. We plan to build a next-generation machine learning platform that Canadians can access for their mental health with this project. Our solution is supported by the Canadian Mental Health Association, NEXT Canada, and Yukon Government. Our […]

SARS-CoV-2 appears to be poised to become endemic, meaning that we can expect continuous risk of exposure to infection. Despite highly effective vaccines, people still become infected, and some people become severely ill. Antivirals that can reduce symptoms and decrease the levels and duration of infection can aid in reducing onward transmission of the virus. […]

Poor physical recovery, especially in remote rehabilitation, is the problem that will be addressed in this project. This project is Phase I of development of Fun-exercise module. Fun-exercise system uses gamification to boost patients’ adherence to their prescribed home-exercises. To achieve this goal, Fun-exercise will use mentally stimulating and customizable games paired with a set […]

Regulatory agencies publish several documents that outline the approval process of drugs. These contain valuable information on a drug’s safety, efficacy, etc. along with the feedback of reviewers from the agencies. Current technologies apply machine learning techniques to extract and categorize the unstructured text found in these documents. However, it does not accurately capture information […]

Physical activity is a crucial part of cardiovascular disease and prevention. Some of the most important clinical measurements relate to how effectively the body is able to consume and use oxygen to fuel muscles. However, these clinical measurements require complex technologies that make it only feasible in a laboratory environment. New technologies will be needed […]