Evaluation of Therapeutic Natural Killer cells

Cellular immunotherapy has yielded numerous clinical benefits in treating cancer. While many successes involve CAR T cells, unfortunately this potent anticancer cell therapy can cause serious and even fatal complications. Another immune cell, the natural killer cell (NK), may lead to effective treatment without unwanted side-effects. Furthermore, the use of stem cell-derived NKs provides additional […]

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Randomized Controlled Trial of a Behavior Change Intervention to Increase Aerobic and Resistance Exercise and Quality of Life in Older Prostate and Breast Cancer Survivors: The OutPACE Trial

Age is a key factor in cancer burden, with 28% of new cancer cases and 22% of cancer deaths occurring in individuals between the ages of 60-69. Despite this, little research has examined cancer survivorship in older adults. This is unfortunate, as older cancer survivors experience poorer quality of life, functional status, and general health […]

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Data-driven prediction of project issues using AI

A considerable percentage of BNC projects are impacted by stoppages, re-adjustments and delays. Such issues are often communicated too late to prevent significant losses or facilitate the reallocation of funding to maximize value creation for the bank and its clients. The majority of delivery metrics (risk, statuses, stakes) that help to anticipate strategic issues and […]

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Improving GFlowNets for low data drug discovery

GFlowNets are generative networks that consider the generation process as a flow network. They are theoretically better at handling the difficult cases of sampling different modes of a distribution and when different sampling trajectories can yield the same final state. In this work, we hope to explore various improvements to GFlowNets to make them suitable […]

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Quantifying future changes in internal climate variability over northern Québec and Labrador

The climate of northern Quebec and Labrador is strongly influenced by climate change and internal (natural) climate variability on time scales ranging from years to decades. Internal variability occurs without human influence and can superimpose onto the anthropogenically forced climate change signal, thus adding uncertainty in the assessment of local climate change impacts. Northern communities […]

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Social Lead Identification Year Two

Millions of people post information on social media sites about their interests, preferences, opinions etc. on a daily basis. LeadSift mines this data stream in real-time to generate incredibly accurate and targeted sales leads. Given the short text and ambiguity around a social post, it gets very difficult to accurately identify intent. This project will […]

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Development of a bio-based non-isocyanate polyutherane

This project aims to innovate a Made-in-Canada methodology for producing non-isocyanate polyurethane (NIPU) to replace traditional polyurethane (PU) rigid foam which is produced through a hazardous process from toxic materials such as isocyanates and phosgene.1 We aim to partner with Polychem Consulting Solutions Ltd, a privately held Canadian company based in Vancouver, BC and a […]

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Drug Safety and Effectiveness in Canadians During Viral Pandemics – Part 3

Factors that contribute to the generation of misinformation and distrust in Canadians around drug and vaccine safety and effectiveness include the impact of poor-quality or underpowered studies to influence the perception of therapeutic effectiveness, research priorities, and resource allocation; and the lack of understanding in the processes involved in drug and vaccine research, development, monitoring, […]

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Computer Vision for Estrus and Birthing Detection

OneCup uses Computer Vision to uniquely identify livestock and wildlife from almost any angle, effectively Face ID for animals, called 360 Live ID. We then track health, growth, activity, nutrition, and phenotypes with the ID. It is a revolutionary idea that will disrupt the agricultural industry. We call our AI for cattle BETSY, or Bovine […]

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