Multilingual Semantic Similarity Engine

To communicate with their end users, businesses regularly produce written documents such as letters, notices, statements, etc.., in various languages. A set of rules are usually used to ensure that information in these documents is ‘correct’ and consistent across languages and communication channels. However, with the increasing volume and variety of information being sent out […]

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Flaxseed fractionation for product development and process scale-up.

Flaxseed possesses many useful and valuable components, some in high concentration (oil, protein and fibre) and some as minor components (lignan, orbitides), as well as anti-nutrients such as cyanogenic glycosides and cadmium, which all need to be monitored during development and final production. Integrating or substituting these flaxseed components into various established foods, or generating […]

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Scientific and Clinical Hub for Orphan Drug Development

With rapid and cost-effective genome sequencing becoming the norm, many causal mutations for inherited genetic diseases are being rapidly determined. The discovery of new genes for inherited diseases is enabling rapid genetic and chemical genetic platforms to be used to discover drug targets and drugs/drug-like molecules as potential treatment options for patients with inherited diseases. […]

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Numerical simulation and experimental analysis of frosting in air-to-air counterflow heat exchanger

The present project combines an experimental and numerical approach to be able to model the condensation and the frost formation in air-to-air counterflow plate heat exchangers. An optimized geometry will be proposed as well as frost prevention and defrosting strategies for air exchangers used in North America climate. The sensible heat recovery requirements in building […]

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Novel Additives to Enhance the Delivery of Foliar Crop Sprays

Crop yield is increasingly important for feeding the global population and making Canada a more self-sustaining country. Active AgriScience is a BC based company that is developing novel technologies and formulati,ons for improving yield in many types of crops including canota, wheat, com, barley, and others. One of the key services that !clive AgriScience offers […]

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Uncovering Soft Information from Stock Market Conference Calls: Asset Management Perspectives

Investors, regulators, and the general public consume a wealth of textual information every day. Recent advancements in artificial intelligence make machine-reading of textual information plausible. We tackle text mining of financial conference call transcripts—calls of significant corporate events that are widely followed by investors and institutional investors. Our conference calls data include over 200,000 calls […]

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Natural Language Generation for Intelligent Tutoring Systems

This project solves the problem of generating content for a conversational intelligent tutoring system (ITS). The ITS gives questions to the student and then analyzes their answer using machine learning algorithms. Based on the student answer, the system will give them the hints and teach them how to solve the question. Moreover, the system will […]

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TBIFinder : A new approach to identify and properly assess mild Traumatic Brain Injury

Mild Traumatic Brain Injury (mTBI) is a common and devastating condition that severely affects millions of people around the world. Following an mTBI, also known as concussion, a medical professional performs standard neurological tests, however, these tests are very subjective, based on patient-reporting, and provide little to no insight on the severity of an mTBI. […]

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Development of a commercial protocol to differentiate human pluripotent stem cells into skeletal muscle progenitor cells (hPSC-SMPCs) with transplantation potential

Recent scientific breakthroughs have led to the development of methods to differentiate human PSCs (hPSCs) into skeletal muscle cells. This has allowed, for the first time, the development of cellular models to study muscle diseases such as Duchenne Muscular Dystrophy and the possibility to utilize these cells for cell therapy applications. However, the reliability, efficiency […]

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Predicting In-patient Discharges to Identify Bed Availability for Housekeeping During Emergency Department Surge Using Machine Learning Algorithms

Prolonged patient waiting times for an inpatient bed in the Emergency Department (ED) is considered a global crisis and most cited reason for the ED crowding. Inability to move admitted patients from the ED to an inpatient bed due to capacity shortage and inefficiencies in patient-flow affects patient care and patient experiences. Housekeeping is crucial […]

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Evaluating the Risk of Climate Change and Hydraulic Processes to Linear Infrastructure

Networks of linear Infrastructure, such as our roads and pipelines, allow us to move people, natural resources, and manufactured goods. Common practice has been to utilise historic climatic data to establish deterministic design guidelines for water course crossings. With climate change uncertainly, asset managers are in a position where they are questioning the guidelines and […]

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Health Information Interoperability with Bidirectional Transformation and Assurance (HealthBX)

The objective of the HealthBX project is to research and develop advanced software engineering methods for the purpose of increasing the interoperability of different clinical health information systems used in the province of British Columbia (BC). BC clinics use a variety of different health information systems to maintain electronic patient data. However, the abilities for […]

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