iStandardize: Recommendations for Healthcare Form Standardiz

iStandardize is an AI-powered machine learning solution that is designed to streamline the standardization of clinical order sets (i.e., forms) by using machine learning and natural language processing techniques. Currently, hospital networks use multiple versions of forms and order sets, many of them are similar in nature. The lack of standardization poses a challenge in […]

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Multilingual B2B Supplier Detection and Information Extraction

At Tealbook, we search the web to make the world’s business-to-business supplier websites readily accessible. We extract important sentences and keywords to create a searchable database that buyers can then use to find the right supplier for their needs. But right now, we are limited to servicing English-language organizations. Can we expand our services to […]

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Designing ‘Zero credit touch’ (ZCT) pre-approved credit underwriting program for retail customers

ICICI Bank has developed various ‘Zero credit touch’ (ZCT) strategies where without any credit intervention and additional information taken from customers, credit facilities can be provided. But there are several challenges in the expansion of ZCT strategies, namely, (i) current credit models which are a combination of business rules, scorecards and machine learning models, do […]

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Learning Discussion Thread Representations to Empower Conten-based Recommendation

VerticalScope is a company that owns online forums in many domains, such as automotive, health, technology, and powersports. VerticalScope uses a content based recommender system to mitigate the cold start problem, where a large portion of traffic on the forums are made by unregistered users. The goal of this project is to learn representations of […]

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Improving Resource Estimation with Machine Learning

The proposed project aims to improve the prediction of mineral resources for better decision making throughout a mining project, that is, to decide whether to reject or to process extracted material using machine learning algorithms. This will help maximize profit for mining companies while minimizing environmental impact as the correct material will be processed more […]

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Integration of Indigenous Knowledge and Western science to produce value-added fishery products in northern Manitoba

Wastage threatens the sustainability of fisheries, ecosystem integrity and the food sovereignty of Indigenous communities. This project will explore the promise of value-added fish products in order to improve productivity and revenue of Indigenous fisheries. This project centers on Indigenous values, traditions and community priorities as these products are developed in collaboration with fishers from […]

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Novel Perovskite Nanoparticle Water Quality Sensor

The proposed research aims to manufacture smart water sensors for real-time monitoring of Canadian watersheds’ quality. The need for clean water is constant for communities across Canada. With growing concerns related to organic pollutants entering the water supply, the treatment of drinking water and water systems, and their health effects a need has been sown. […]

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A combined fluid dynamic and strain analysis approach for non-invasive estimate of local aortic wall properties and aortic wall strength mapping

Aortic aneurysms are the result of a complex process that culminates in an irreversible loss of structural integrity of the aortic wall with consequent weakening and dilatation associated with rupture risk and high mortality. Clinicians have expressed strong interest in information that would help them determine the actual structural integrity of the vessel and guide […]

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Ovarian Cancer Research Program

Ovarian cancer has a high mortality rate and cannot be detected by screening. Strategies to decrease the burden of OC in Canada will need to improve the delivery of effective prevention, particularly risk-reducing surgery. This initiative is designed to execute three projects that focus on possible strategies to improve the effective delivery of evidence-based OC […]

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Analysis, design, and implementation of a recommendation engine to suggest charities

The goal of this research is to investigate and build a recommendation system that suggests charities to users based on their previous donations. One of the first successful recommendation systems was Amazon’s “Customers who bought this, also bought…”. This recommendation system focuses mainly on making it easier for users to find relevant information and increasing […]

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