AI to predict emergency visits

ClosedLoop.ai is an AI-based predictive analytics platform that goes beyond traditional claims-based risk scores to use all patient-related healthcare data to provide both clinicians and care managers with a full breadth of timely, transparent and accurate predictions of health outcomes. ClosedLoop.ai helps value-based providers confidently answer a variety of health-care questions like, which patients are […]

Read More
Link predicting in court

The company Lexum is an undisputed leader in the development of information retrieval tools for the law – statutes, regulations and decisions of courts and tribunals. The project is to improve a new tool offer by the company. The tool is used to retrieve a list of legal subjects from a factual description. With that […]

Read More
Low data drug modeling

The project aims to facilitate the research and development of new drugs by exploring Machine Learning methodology useful for both the generation of new molecules and the prediction of molecule properties. Doing so will involve training deep learning models on a large number of small, heterogeneous datasets, with the objective of transferring learned representations quickly […]

Read More
Super resolution for MRI scans

Brain MRI scans are a critical component in the diagnosis of neurodegenerative disorders. However, there is a wide diversity in terms of the image quality and resolution obtained from different MRI scanner. In particular, it is common to find coarse resolution MRI scans (e.g. every axial slice is 3-5 mm thick), which limit the type […]

Read More
Readmission AI: a predictive tool to assess patient risk of hospital readmission

Logibec Readmission AI is a predictive intelligence tool that accurately identifies the patient’s likelihood of being readmitted within 45 days of discharge. Rigorously and ethically developed with machine learning techniques in partnership with three large healthcare organizations in Québec, the predictive model uses reliable, accessible and timely clinical-administrative and sociodemographic data to provide clinically relevant […]

Read More
Autonomous structure detection and inspection using unmanned aerial systems

In this project, a new method is developed to optimize the performance of an Unmanned Aerial Vehicle (UAV) for autonomous detection and on-the-job view-planning of infrastructure elements with the purpose of their accurate three-dimensional (3D) modeling. The existing view-planning approaches in the literature have mostly modeled non-complex or small-scale objects and have rarely been adapted […]

Read More
Predicting Scleral Lens Rotation Based on Corneoscleral Toricity

Patients with corneal disease often require treatment with scleral lenses. Unlike regular soft contact lenses, these lenses are much larger and have a space between the cornea and the lens that is filled with fluid before lens application. These lenses are extremely useful in cases of extremely ocular dryness and in patients with irregular corneas. […]

Read More
Personalized Wealth Management Advisor based on the Analysis of Times Series Related to Financial Transactions

The aim of this research project is to develop innovative tools that will help financial institutions deliver highly personalized services to their customers. We intend to use the most recent advances in statistical learning methods and machine learning algorithms mostly in deep learning, vector embeddings and autoencoders, to leverage the power of time series models […]

Read More
Using technology to measure, map and magnify the impact of due diligence programs in artisanal mining communities in Eastern D.R Congo

Ulula is a company that provides software and analytics to create responsible supply chains. In 2018, Timothy Makori, Ulula and the International Peace Information Service (IPIS), an independent research organization working on issues related to artisanal mining in Eastern Congo, undertook a baseline study assessing the social, economic and human rights impacts of initiatives promoting […]

Read More
Methodology development for the non-destructive quality assessment of joints in polyethylene pipes based on ultrasound technology

The use of polyethylene (PE) plastic pipes for transporting gas and water has increased over the last few decades. The quality assessment and overall safety of the PE pipe networks have been of high priority for the distribution companies. The existing technology is somewhat complicated to use quickly and effectively by less experienced personnel. The […]

Read More
Developing Cannabis resources for the 21st century

Over the past few years Cannabis has gone through a revolution with respect to its applications to both the medical and recreational markets. For legal reasons, much Cannabis genetics has been hap hazard but now with legalization scientific approaches can be used to develop useful Cannabis strains for the industry. In this proposal, we will […]

Read More
Straits Salish Plant Stewardship in the 21st Century:Cultivating Co-management Relationships in BC

This research supports the T?Sou-ke Nation to re-establish connections with culturally important native plant species cultivated and stewarded by traditional T?Sou-ke peoples for food, medicine and technology and to store this information in database and maps. The product of this research will be accessed when T?Sou-ke consider both large, economic development projects proposed within their […]

Read More