Biomolecular Structure Analysis to Accelerate Development of New Vaccines and Monoclonal Antibodies

Manufacturing of consistently high quality products is the commitment of pharmaceutical industry. To achieve this, new products must be thoroughly tested and the results meet government-approved product specifications. Improving existing and adopting improved analytical technologies for product testing ensure the production of safe and effective products. This is particularly critical for the manufacturing of biologic […]

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SARS-CoV-2 Vaccine Strategies

As the SARS-CoV-2 virus mutates over time and variants emerge, it is crucial to stay ahead to keep the public safe. This research aims at capturing new variants that emerge and test them against the current therapies and vaccines in place as well as develop the next generation of vaccines and therapeutics to keep the […]

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Breaking Boundaries: AI-Driven Documentation at KidsAbility

Currently, KidsAbility therapists spend a substantial portion of their time on indirect client activities, primarily focused on creating extensive reports and notes that detail each child’s progress. For every minute spent with a client, clinicians spend up to two minutes writing these important documents. This process, while crucial, is time-consuming and diverts valuable resources from […]

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Automated Analysis of Call Transcripts Using Large Language Models

Analysis of customer service call transcripts can be challenging due to high volumes of unstructured textual data. To overcome this challenge, Co-operators Insurance Group seeks to explores the application of large language models (LLMs) such as GPT3 in analyzing call transcripts to extract structured data to be used in further modelling. Specifically, the project aims […]

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Financing food security: Impact investing for small-scale food processors

The small-scale food processing industry is underrepresented within scholarly and industry discourses, despite its vital role in local economies, food systems, supply chains, and Canadian food security. How can a financing model developed by the Small Scale Food Processors Association (SSFPA) best enable its members to continue to innovate, support local economies, and contribute to […]

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Applications of machine learning to improve hydrological model regionalisation

Hydrological streamflow models are commonly used to warn populations of extreme events. The parameters of these models are typically calibrated to observed streamflow. The learned parameters can then be transferred to areas that are lacking streamflow observations, a process referred to as regionalisation. This project builds on previous work, which proposed using machine learning models […]

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Improving microangioscopic image visualization for use in stroke therapy

Ischemic stroke is caused by a blood clot within the blood vessels of the brain. A common technique to remove the blood clot is by using medical devices that can reach the clot through the arterial system. To properly deploy such devices, visualization of the blood vessels, clot, and therapy devices is required. This is […]

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