Machine learning methods for automatic diagnosis, severity assessment, prognosis, and disease understanding of COPD

Chronic Obstructive Pulmonary Disease (COPD) is a progressive, debilitating, chronic respiratory disease that affects 600 million people worldwide and is responsible for 3 million deaths worldwide each year. Given the recent advances in artificial intelligence (AI) and the availability of large datasets from both the public and private sectors, our project applies AI to analyze large-scale medical datasets and develops tools capable of performing accurate diagnosis, severity assessment, and prognosis of COPD.

ATP citrate lyase (ACLY) as a novel anti-cancer drug target for hepatocellular carcinoma

The net 5-year survival rate for patients suffering from liver cancer is less then 20 percent and the number of cases is rapidly increasing in Canada. Unfortunately, currently available oral chemotherapies can only extend median survival by 3 - 4 months making the development of new and effective drug treatments critical. The proposed study aims to pave the way for a new class of drugs to help fight liver cancer and give hope to patients suffering from this deadly disease.

Improved pulse pressure approximation and pattern recognition algorithm for prediction of blood pressure-related health issues

Continuous blood pressure (BP) monitor is highly beneficial for detection and prevention of stroke and cardiovascular disease. The most common BP monitor technique still relies on using a cuff that slows the blood flow, which is both uncomfortable and makes continuous monitoring impossible. Furthermore, research has shown that due to the numerous artifacts, the existing cuff-less BP monitoring technologies such as pulse transit time (PTT) and tonometry are not effective.

Calibration-Free Continuous Pulse Oximeter Monitoring Using Deep Learning

Oxygen saturation, i.e. SpO2 is the fifth most important vital sign after heart rate (HR), body temperature (BT), blood pressure (BP), and breathing rate (BR). Oxygen saturation indicates if sufficient oxygen is being supplied to the body.
Continuous SpO2 monitoring is highly beneficial for detection and prevention of several diseases.

Effect of ROS on neurovascular decoupling in epilepsy

In order for the brain to function well, it is important that blood vessels within the brain are healthy. In a healthy brain, these blood vessels can become larger and smaller when necessary, but this is no longer possible after epileptic seizures. An important group of compounds that regulate the size of blood vessels is ROS, but too much ROS is unhealthy for the brain. Therefore, we believe that too much ROS is produced during epileptic seizures. Luckily, the brain also contains antioxidants, which can normally clear the brain from ROS, but possibly not enough during epilepsy.

Evaluation of MRI-based estimation of cortical thickness

The most important structure in the human brain is the cerebral cortex. It makes it possible to perceive our visual environment and sounds, to perform motoric actions such as grasping an object, to speak, to understand speech, etc. The cerebral cortex is a 2-5 mm thick sheet, embedded in the skull. Analysis of MRI data makes it possible to estimate the thickness of the cerebral cortex. In certain neurological conditions such as mild cognitive impairment, Alzheimer's disease and multiple sclerosis, the thickness of specific cortical areas decreases faster than in healthy aging.

Machine learning algorithms utilization for impairment screening using balance detection

In this project the human body movement and its balance will be studied, and artificial intelligence-based algorithms will be developed in order to detect the body movement and the posture in real-time. Specific camera technology will be utilized in order to gather required data of the human movement and the environment. The data will then be filtered and analyzed. The cleaned data will then be used in a artificial-intelligence-based system to detect the status of the movement.

Efficacy of CB1R inverse agonists for enhancing insulin secretion in mouse and human islets, ex vivo, and for preventing cytokine-induced ?-cell death in human islets

Inversago and CR-CHUM will collaborate to evaluate new generation Cannabinoid-1 receptor (CB1) blockers for the treatment and/or prevention of type-1 and type-2 diabetes. Previous generations of CB1 blockers have shown their promise in treating several features of the metabolic syndrome, including obesity, type-2 diabetes and liver diseases. However, they were plagued with important psychiatric adverse effects which eventually caused the termination of all development and commercial efforts.

Testing of a Collar-Mounted Airbag to Protect Against Neck Injuries and Concussions

Hockey parents are worried about rising concussion rates. Currently no sports equipment protects against concussions. Hockey players aged under 18, must wear a neck guard for protection against skate blade cuts. Recently, a redesigned hockey neck guard, using an impact sensor and airbag technology was conceptualized. We want to test whether airbag inflation upon direct or indirect hit to the head/face/neck/upper body, can simulate “neck bracing,” and reduce neck injuries and concussion risk caused by whiplash or rotational movement of the head/neck.

Technology innovations in Wheelchair Sport measurement and analysis

This project will assess the game demands of wheelchair court sports. While this has been attempted in the past, new methods using inertial measurement units (IMU) allow each push to be identified and offer new ways to analyze these game demands and connect them to key performance metrics. With the help of Own the Podium, and Canadian Sport Institute Pacific, these key performance indicators will become an important for developing and developing elite athletes in wheelchair court sports.