Consumer Access to Personal Health Information for Asthma Self-Management

The Centre for Global eHealth Innovation (UHN) is leading the development of a mobile web application for asthma self-management on behalf of Ontario Lung Association, in a project funded by Canada Health Infoway. The internship will involve the research and development of the user-interface of this novel application, which can be accessed by users via […]

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Participatory Cities Every One, Every Day: Toronto

This proposal details an approach for evaluating a planned project led by SII called Participatory Cities: a new inclusive, system-based approach to stimulating and supporting dense networks of practical ‘participation culture’ in cities around the world. With proof of concept developed and tested in London, UK, by the Participatory City Foundation, the model will now […]

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Real-time Optimization of Freshwater usage in Aquatic Facilities based on Occupancy and Water Quality data Using Machine Learning Methods.

In this research, occupancy monitoring data, temperature and humidity, and water quality parameters data collected through image processing and Internet of Things (IoT) sensors from multiple swimming pools are going to be processed and analyzed to identify the meaningful relations between these parameters and freshwater usage. The aim is to identify correlations between parameters and […]

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Semi and weakly supervised clinical data labelling for deep learning NLP

We are building a machine learning algorithm to be able to better understand the messy clinical notes that doctors write on patients and to automatically structure them. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how […]

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Next-Generation Precision Medicine Solutions – Diagnostics

As personalized medicine approaches aim to tailor treatments to individuals, improvements are needed in the detection of existing biomarkers and genomic, epigenomic, and proteomic changes that occur during disease development. This would have potential impact on medication selection and targeted therapy, reduce adverse effects, improve cost effectiveness, and shift the goal of medicine from reactive […]

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Maximizing Intrinsic Learning in an App-Based Approach to Language Learning

This research is focused on optimizing the language learning that occurs when students are allowed to practice English by conversing with native English speakers via a smartphone app, specifically Goji. Learning is best when the student maximizes the density of their practice, returning to practice often. This research will focus on the characteristics of the […]

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Development and evaluation of the OptiSolve Pathfinder optical assay for viral particle detection on surfaces in environmental monitoring

OptiSolve Pathfinder is a diagnostic tool that allows the easy identification of contamination on surfaces through imaging. Although viral and bacterial organisms are always a threat, during the current COVID-19 pandemic, the ability to easily identify and quantify viruses is of primary importance. The Pathfinder solution developed by OptiSolve will significantly improve quality of care, […]

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Development of an assay for personalized synergistic blockade immunotherapy treatment of COVD-19 patients using CytoFind™

The current COVID-19 pandemic has posed many challenges to healthcare professionals as they deal with managing the primary disease and it many complications. The proposal aims to develop, test, and validate an assay to detect quickly immune checkpoint targets in T cells in peripheral blood with high specificity and sensitivity using a diagnostic device, CytoFind, […]

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Development of bead-based detection of SARS-CoV-2 IgM/IgG in a multiplex POCT platform

COVID-19 is a highly infectious respiratory disease that is caused by the SARS-CoV-2 virus. RT-qPCR is a nucleic acid testing that is widely adapted to confirm the infection. Point-of-care IgM/IgG testing strips have been adopted in some countries for screening and surveillance. However, these antibody testing strips are restricted to a positive/negative testing result. Because […]

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Understanding the mechanism of operation of Solistra Corp.’s dry reforming photocatalyst.

Solar-driven dry-reforming is an ideal solution for recycling greenhouse gasses (GHGs) while producing valuable chemical feedstock. These anthropogenic emissions of the GHGs are the leading cause of global climate change. Furthermore, these emissions are related to the manufacture of fuels and carbon-based products. Solar fuels technology addresses both of these issues. Solistra is developing photocatalyst […]

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Enhanced Content-Based Similarity Detection for Book Recommendation

Recommendations is one of the main ways Kobo users discover content on the platform. By using purchase history, Kobo can suggest other books similar to a certain item. However, this does not provide meaningfulrecommendations in some cases, especially for bestsellers and fiction books. Currently, only for books that have no purchase history does Kobo supply […]

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Mobile Data Usage & Signal Strength – Manage, Analyze and predict estimated data usage and signal strength to conduct automatic cause analysis using deep neural network and unsupervised learning techniques

Enterprise mobility management enables to collect various metrics from million of devices. This industrial research project focuses on identifying the key performance indicators and formulas to identify and predict coverage issues and identify data usage problems within a device. Using the key performance indicators, the intern will explore all feasible machine learning approaches. Final goal […]

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