Development of MCT4-targeting small molecule inhibitors for management of castration-resistant prostate cancer

Late-stage, therapy-resistant prostate cancer (PCa) remains a difficult-to-treat disease that urgently needs better therapeutics. Advanced PCa cells use glucose (sugar) differently than normal cells, substantially increasing lactic acid secretion into the surrounding environment. This supports cancer growth in numerous important ways, including helping PCa avoiding destruction by the patient’s immune system. One critical protein involved […]

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Stratifying colorectal cancer liver metastases using unsupervised clustering of quantitative imaging phenotypes

Personalized and precise treatments are the keys to improve prognosis of cancer patients and are also the main strategy of Sunnybrook Hospital. This project aims to stratify patients with colorectal cancer liver metastases (CRM) based on their disease subtype and risk using magnetic resonance imaging, which is routinely used in the diagnosis, staging and operative […]

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Identifying Questions for Game-Based Learning through Deep Learning

Game-based learning tools often make use of questions to measure and encourage learning, but generating questions can be challenging, especially at the scale that companies like Axonify are required to do. In this project, the intern will design, implement, and evaluate a system that can apply machine-learning on a corpus of text (e.g., a textbook) […]

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Automated Identification, Classification, and Measurements of Pipe SurfaceDefects in Different Manufacturing Steps at Evraz

This research project focuses on Identification, Classification, and Measurement (ICM) of defects in different manufacturing steps at Evraz. Images/videos of the defects will be collected by a combination of the existing pipe inspection systems in use at Evraz and also the robotic system, equipped with a camera vision, to be completed in this project. Also, […]

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Statistical machine learning for urban transportation system

In general, the goal of project is to investigate the train travel data and figure out the main factors affecting train travel time. Moreover, we will use machine learning algorithms to predict their arrival time to stations and forecast when delays will happen. Specifically, to figure out what factors are affecting train travel times, we […]

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Development, simulation and validation of hybrid energy generation-based isolated microgrid models suitable for the minimization of fuel expenditure and CO2 emissions of an oil and gas drilling rig

This project will involve the development and validation of simulation models suitable for studying, designing and implementing a small-sized power system with reduced fuel expenditure and carbon (iv) oxide emissions, for oil and gas extraction activities. The successful implementation of the project will further Audacious Energy Corp.’s knowledge to launch and test a Minimum Viable […]

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Testing Mechanisms for Electrical Distribution Systems in Buildings

Nexeya is an innovative industrial group that provides test, integration and control-command solutions mainly in the Defense, Aeronautics, Energy, Railway, and Automotive sectors. Nexeya’s current products are able to test characterise wiring harnesses and detecting and localising wiring defects, in the Aeronautics, Automotive, Railway, and Space industries. This proposed research project aims to advance the […]

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Developing a Compact, Medium Range 3D Imaging LiDAR System

The main technical objective for the intern is to contribute in developing a breadboard that utilizes the laser, receiver and scanner technologies and create a potentially very small lidar. The intern other objectives might also include: • Investigate the transmitter choices and down?select the best one • Examine the available detector arrays • Evaluate whether […]

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An investigation of the occlusive properties of smart polymeric particles usingquantitative image analysis of dentin microtubules

Many young adults are affected by tooth sensitivity stimulated by eating or drinking something hot, cold, sweet or acidic, which impacts their life quality. Tooth sensitivity can start when the softer, inner part of the tooth called dentin becomes exposed. The dentin contains a large number of parallel microtubules that run from the outside of […]

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Evaluating Gradients of Natural and Induced Stress on Fish Blood Parameters; Developing more accurate results from Point-of-Care Devices

The point-of-care i-STAT and VETSCAN units are easily portable blood-based assessment tools that can produce relevant blood parameters within minutes with only 2-3 drops of blood. The objective of this study is to examine both natural and investigator-applied stress gradients in fishes and compare blood chemistry of fishes from a range of environments (e.g., low […]

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