Two pharmaceutical products for the treatment of neurological diseases developed by Neuractas Therapeutics require fine tuning to enhance their solubility, bioavailability and stability towards relative humidity. Extensive experimental research will be carried out to improve the polymorphic distribution of the products by high through-put crystallization to improve the solubility of one of the products. In […]

Trimac faces a challenge in developing quality customer leads for our financial offering. The process we currently employing is tracking news published in industry newsletters and finding contact information for companies in the news item. This approach has been somewhat successful but improvement is warranted as it certainly has not identified the full universe of […]

MEGA InTech aims to maintain healthy workers and prevent injuries. This research will advance a smart insole to deliver analyses of ambulatory gait and posture. Specifically, signal processing and sensor fusion algorithms to deliver detailed metrics of gait and occupational ergonomics will be developed. The proposed methodology will leverage the partner’s prototype insole sensor hardware […]

MLSE LaunchPad is a sport for development (SFD) organization in Moss Park, Toronto that uses sport and physical activity to build healthy communities. A trauma- and violence- informed approach is a treatment practice used to provide safe and inclusive spaces for traumatized youth, however, it is rarely incorporated in SFD programs. In collaboration with MLSE […]

Metal-based direct energy deposition processes ideally require feedback sensing of the deposition quality using camera detectors as they provide spatial and temporal state signatures of the process. Image processing algorithms are challenging to develop due to changing process operating conditions. Machine learning models have recently gained in popularity due to their ability to predict process […]

A hybrid computational framework for short-term flood prediction in urban watersheds (characterized by overland runoff) will be developed to improve prediction accuracy. The framework aims to accurately predict an event, e.g. flood or no-flood, as opposed to traditional methods which estimate water flow characteristics, e.g. 6 feet above flood stage. Successful early prediction of these […]

The COVID-19 pandemic has exacerbated the challenges Canadian manufacturers face in managing increasingly complex, multi-tiered global supply chains, including a wide rang of sustainability issues ranging from forced labor to carbon emission management. Industry 4.0 technologies – including the internet of things (IoT), blockchain, and machine learning – can potentially address these issues via enhanced […]

Lung ultrasound (LUS) is a portable, non-ionizing imaging method with high accuracy for numerous respiratory conditions.1-3 These properties allow LUS – unlike other lung imaging techniques – to be delivered at scale and outside of traditional healthcare environments that may allow for broadly distributed diagnosis, triage or prognosis of respiratory conditions.4–11 As training for LUS […]

This project aims to provide an alternative therapeutic for the prevention and treatment of the virus responsible for COVID-19, SARS-CoV-2, as well as respiratory syncytial virus and influenza. Using a single viral vector platform, we will deliver antibodies from human survivors of these diseases to provide sustained levels of protection against the virus for all […]

In recent years, significant attention has been paid to ending chronic homelessness in Canadian communities. As communities implement these initiatives, they confront many practical problems. Given the nuances of implementation and the many decisions and compromises that communities need to make, having a robust and thoughtful community engagement and co-design process that incorporates the relevant […]

The goal of this work will be to better understand the lensing of astrophysical sources such as pulsars and fast radio bursts (FRBs). Lensing is a phenomenon that occurs when clouds of material pass in front of a source, such as a star, causing the source to change in brightness, much like a magnifying glass […]

A quantitative risk prediction model is to be constructed. We need to determine if the available data will fit an existing model and validate the results or if a new statistical model is required. Each case will be allocated into one of three categories (low, moderate and high risk). This stratification must have clinical validity […]