Estimating Optimal Treatment Regimes from Electronic Health Records using Natural Language Processing for Unmeasured Confounding

n precision medicine, optimal dynamic treatment regimes (DTR) are a sequence of decision rules that individualize medical treatments. DTR estimation methods use observational data, such as electronic health records (EHR), which may lack variables that capture doctors’ rationale behind treatment assignment. However, while such variables, also referred as confounders, may not be directly recorded in […]

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Discovery platform for aptamer-based luminescent sensors for protein detection

Diagnostics are critical to our healthcare infrastructure, with substantial impacts on patient care and public health policy. Proteins have been used as diagnostic markers for disease monitoring for nearly 200 years, however, current analytical methods require expensive equipment and expert technicians. This restricts the use of such methods to centralized laboratories where they process samples […]

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The implications of foreshocks on mainshock triggering

Large earthquakes (mainshocks) are sometimes preceded by small-magnitude events called foreshocks. Foreshocks are the only detectable earthquake signals before the mainshock and thus, attract interest in using foreshocks’ properties to predict mainshock. It has been hypothesized a two end-member triggering mechanisms of foreshock, the cascade model and the aseismic slip model but results are often […]

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Social determinants of health and use of diabetes technologies among adults with type 1 diabetes in Quebec

The intern will evaluate disparities in the use of diabetes technologies among individuals from historically marginalized communities in Canada, explore barriers and facilitators to use of diabetes technologies, and identify novel strategies to improve equitable use. The intern will determine associations between marginalization and the use of insulin pumps and CGM, as well as interactions […]

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Blue Dot Application

The main objective of this research project is to contribute to developing a model that can provide robust early warning to changes in influenza cases and help to reduce ILI spread globally. The model, Modified Exponential Growth Algorithm (MEGA), will characterize the early ascending phase of epidemic disease and will be used to detect changes […]

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Factors and Mechanisms that Impact Cognitive Health in Aging

The larger study project aims to assess and enhance the impact of virtual health interventions on older adults with IDD, their family caregivers, and service providers. The first phase of the research project will explore and investigate current challenges older adults with IDD experience within academic and grey literature, and data collected from previous virtual […]

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Machine learning developer interns within cross-functional teams to develop and commercialize AI-powered solutions (16)

AltaML is an innovative company capitalizing on a major technological trend: artificial intelligence (AI) technologies, enabled by big data, are driving a fourth industrial revolution. AI will transform all industries, but traditional industries face challenges in implementing AI. AltaML has a unique business model to overcome barriers to adoption of AI solutions by industry, which […]

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Refugee Home Share Program

Happipad is a not-for-profit Canadian corporation which leverages technology to facilitate the matchmaking and support of home-sharing between refugees and hosts in Canada. Launching its pilot projects in Metro Vancouver and Toronto, Happipad wants to assess its effectiveness and benefits for refugees and minimize its potential barriers to make it a replicable framework for implementation […]

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Exploring Legacies of Injustices and Inequities from Toronto’s Transportation Infrastructure Development

While many Canadian planning practitioners are familiar with the harmful legacies of transportation infrastructure development in the United States, particularly as it relates to the displacement and forced removal of racialized and low-income communities, there is comparatively little documentation or awareness of this history in Canada. This research project will contribute to filling this knowledge […]

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Theoretical study on controlling condensed matter properties by using strong light-matter coupling in cavity

Recent experimental advances have enabled the creation of setups where matter and quantized electromagnetic fields (photons) interact more strongly than the typical energy scale of the matter. Specifically, these strongly coupled light-matter systems have been achieved within the realm of cavity quantum electrodynamic (QED) materials, placing a material of interest inside a cavity of photon […]

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Using Multi-Material 3D Printing to Strengthen Biocomposites with Superhydrophobic Plating

This project will focus on reinforcing biocomposite materials with a superhydrophobic plating to help improve the mechanical properties and industrial feasibility. Biocomposites are currently being widely researched because of their numerous advantages over materials traditionally used in manufacturing such as being easily recyclable, being made from materials which are found abundantly in nature, and having […]

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Evaluating the Short-Term Implementation of CWELCC from an Equity Perspective

The Canada-Wide Early Learning and Child Care (CWELCC) agreements are part of a recent policy by the Canadian government. The goals of CWELCC are to increase spending on and access to early childhood education and care (ECEC) across the country. Children from low-income families receive the most benefits from access to high quality ECEC, past […]

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