Implication of the EZH2 methyltransferase and its upstream regulator H19 in pulmonary arterial hypertension

Pulmonary arterial hypertension (PAH) is a progressive condition characterized by the chronic elevation of pulmonary artery (PA) pressure leading to failure of the heart. In spite of recent advances in approved therapies, PAH remains a serious disease with significant mortality. In contrast to the earlier belief that contraction of pulmonary vessels played a key role […]

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Prediction and prevention of sexual dysfunction using a machine learning approach

Sexual dysfunction is pervasive in our society and is associated with a blend of biological, psychological, relational and contextual risk factors. In this project we will apply machine learning algorithms on a set of known risk factors of sexual dysfunction to predict whether a new patient suffers from sexual dysfunction and whether sexual dysfunction will […]

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Development and implementation of a haptic-enabled multimodal robotic platform (H-MRP) for upper-limb fine motor skills retraining

Upper limb physical impairments complicate the patient’s everyday tasks and possibly his ability to be independent with functional activities. Robotics technology is a promising approach for the rehabilitation of upper limb physical impairment. Indeed, the use of robotic systems helps therapists apply flexible, scheduled, and consistent therapy for long period of time, and has great […]

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Developing the Microsoft HoloLens for cognitive-motor dual-tasking.

People living with a disease or injury that affects their brain face daily challenges related to impaired cognitive function – including memory, reasoning, planning, and problem solving – and motor function particularly during tasks that concurrently challenge cognitive and motor function, such as grocery shopping, navigating new or busy environments, or simply having a conversation […]

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Machine Learning for Digital Pathology

Histopathology is the study and examination of tissue slides under magnification and is the definitive diagnosis for many diseases including cancer. With the advent of whole-slide scanners and image management software systems, computational pathology tools can be created to measure disease in an efficient and objective manner. This is in contrast to the labourious and […]

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The Scleroderma Support group Leader EDucation (SSLED) Program

Many people with the rare autoimmune disease scleroderma rely on support groups to cope with their illness. For many scleroderma patients, however, support groups are not available in their area or cannot be sustained. To address this problem, the Scleroderma Patient-centered Intervention Network (SPIN) and Scleroderma Canada developed a videoconference-based training program for scleroderma patient […]

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Image-based Feature Engineering in Age Related Macular Degeneration (AMD): bridging the biology of ophthalmic imaging with advanced computer analytics for enhanced clinical trial design and personalized medicine in blinding eye disease.

This project allows a PDF to take on a “feature engineer” role in which she will work closely with a biomedical engineer to identify novel features based on Tracery’s proprietary imaging method for Age-related Macular Degeneration (AMD). The PDF will serve as a vital link between clinical disease and computing, interacting with both academic and […]

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Blood product demand forecast modeling using clinical predictors

Blood transfusion is one of the most crucial and commonly-administrated therapeutics worldwide. The need for more accurate and efficient ways to manage blood demand and supply is an increasing concern in many countries. Building a technology-based robust blood demand and supply system that can achieve the goal of reducing the costs of wastage and shortage, […]

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Applying Machine Learning to Human Motion & Musculoskeletal Health: Predicting ACL Injury & Recovery from Monocular Video

Active people, and young athletes in particular, are at high risk of tearing the anterior cruciate ligament (ACL) with 200,000/year occurring in the United States. However, current effective methods to assess functional test performance are onerous, lengthy (~1hr), complex and costly. Curv Labs is a Canadian start-up that leverages computer vision and artificial intelligence to […]

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Ultrasound Device for Superficial Targets

This project intents to design and build a prototype for a device that uses low-intensity ultrasound for localized treatment of malignant skin cells. The industrial partner is interested on evaluate the performance of a current cosmetic device and the feasibility to use a device with similar characteristics to treat malignancy. We propose to first characterize […]

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