Co-développement d’outils de promotion de la santé cognitive par et pour la population de 50 ans et plus.

La maladie d’Alzheimer et autres troubles apparentés sont en augmentation notamment en raison du vieillissement de la population. Les adultes et les aînés éprouvent des craintes face à la survenue de ceux-ci. Bien que le contrôle de facteurs de risques modifiables pourrait prévenir jusqu’à 40% de ceux-ci, une majorité d’adultes et d’aînés croient que seulement […]

Read More
Development of a model-based approach to assess bioequivalence based on dermatopharmacokinetic data obtained from comparative studies on topical dermatological drug products

Market approval of generic products requires that such products are shown to have equivalent safety and efficacy as the innovator product currently on the market. In general, generic topical dermatological products require comparative clinical trials in patients which require a large number of patients, are expensive and lengthy. This has led to a shortage of […]

Read More
Vegetation Growth Trajectory Responses of Native and Invasive Plants Across Different Biogeoclimatic Zones within the McKay Creek Wildfire Area

Impacts of increased wildfires and wildfire intensity have impacts that go beyond the initial devastation often shown on the news. Wildfire recovery is a long, difficult, and multi-faceted undertaking, especially within the context of a changing climate. This project is intended to better understand the impacts of wildfire on invasive and native (culturally important) plants. […]

Read More
High-Resolution 3D Mapping and Modeling of Solar Neighbourhood Potential

This research project will be focused on the development of a new software technology in order to model and map maximum solar energy potential on the rooftops and facades of buildings with high spatiotemporal resolution, with particular emphasis on optimal community design for smart net-zero energy solar communities. The goal of this project is to […]

Read More
Investigation of Recrystallization Inhibitory Effect of Terpolymer Nanoparticles in Ethylcellulose Membrane for Amorphous Solid Dispersions of Drugs with Low Solubility

Poor water-solubility limits the total use of the drug in the human body of many recently discovered drugs. Recently, Amorphous Solid Dispersion (ASD) technique is being used as an efficient way to enhance solubility of poorly soluble drugs which are prevalent in pharmaceutical industry while providing sustained release, however the instability of ASD may cause […]

Read More
Effective concrete mixes for Saskatchewan side walks using locally available pop-out prone aggregates

A disturbing number of aggregate pop-out cases have recently been observed in newly poured concrete throughout the City of Saskatoon. A “pop-out” is a small, often cone-shaped void in a horizontal concrete surface left after a near-surface aggregate particle has fractured. Aggregate pop-outs can accelerate the deterioration of concrete sidewalks and can result in safety […]

Read More
Pre-training large models that generalize well across the chemical space

The intern is expected to develop a pipeline for training large machine learning models on drug-like molecules to learn a broad understanding of biochemistry. This pipeline involves developing a model that can learn on many biological and quantum mechanical tasks concurrently while evaluating and improving the structure of the model using low-cost approaches from recent […]

Read More
Application of Machine Learning in Radiation Oncology Scheduling

The Ophthalmology department of CHUM receives almost 400 patients per day, each of which needs to go through different tests and consultations. Scheduling those appointments is a complicated task as it involves multiple shared resources, precedent constraints between tests, and uncertainty in tests’ durations, cancellations, emergency patients, etc. The current manual scheduling at the department […]

Read More