We propose to develop and evaluate a clinical decision support systems (CDSS) for the Princess Margaret Cancer Centre (PMCC) lung metastases multidisciplinary tumor board (MDT) to improve the consistency and quality of MDT decision-making. We will develop and train a machine learning-based (ML) classifier, using historical decisions data from lung cancer MDTs to model the […]

This project will look at the career aspirations and confidence of engineering students in their first year of studies. The data to be analyzed comes from a survey of first year students collected as part of a co-op prepapration program. The data will be analysed to look for differences by gender, international and student status, […]

Extreme temperatures increase the risk when exercising. The early recognition of symptoms and physiological changes (i.e. heart rate alterations) can help to prevent temperature-related illnesses. Wearable devices available in the market are key to monitor health parameters but not to indicate risk exposure. Thus, we aim to identify the best combination of health parameters to […]

Fetal Alcohol Spectrum Disorder (FASD) is the leading cause of developmental disabilities in Canada and is an umbrella term describing the range of effects associated with alcohol use during pregnancy. Currently, we do not know exactly how many Canadians are living with FASD, but we estimate 350,000 and that 3,000-4,000 babies with FASD are born […]

There is an increasing amount of potentially distracting information being made available to drivers. However, applications (e.g., for navigation, work, entertainment, etc.) need to be aware of driver workload so that they don’t create unsafe distraction. This work is important because distracted driving is a major risk factor for road accidents and the threat of […]

Sleep apnea, which affects 10% of adults, is a disorder that causes breathing to repeatedly stop during sleep, leading to reduced blood oxygen and fragmented sleep. It increases the risk of HF by four times, of hypertension or stroke by three times, and doubles the risk of car accidents. Health care utilization is doubled in […]

In collaboration with Vee Canada Inc and Sona College of Technology and Vee Technologies in India, we propose to create a noncontact Electrocardiography (ECG) monitoring system embedded into different furniture such as a bed and chair for fully sensing and processing human heart activity using textile-based sensors and machine learning modules. The project’s ultimate goal […]

Evoco Ltd. is a Toronto based company specialized in manufacturing bio-based and environmentally friendly polyurethane (PU) materials that have a wide range of applications, including but not limited to footwear, apparel, sports equipment and pet products. The company is interested in incorporating advanced manufacturing and 3D printing technologies into their PU material fabrication procedures. The […]

This research project supports the development of cycling planning tools within an online transportation planning platform called the Transportation GeoXchange (TGX). Research focusses on the development and integration of Level of Traffic Stress (LTS) network analysis in case studies using the TGX. LTS networks are routable graphs with impedance functions that characterize the subjective level […]

Neuractas Therapeutics is a Canadian pharmaceutical company that is developing novel agents for neurological indications. Neuractas has developed neur-04 for epilepsy, this agent is a reformulation of an existing drug that has demonstrated strong clinical anticonvulsant activity in the most difficult-to-treat cases of epilepsy. Often people with epilepsy have to try several different medications before […]

Lower extremity wounds are painful wounds in the legs and feet that can result from immobility (e.g. secondary to Multiple Sclerosis, spinal cord injury), peripheral vascular disease and/or diabetes. They are slow to heal and cause immense pain and suffering. These wounds can cause infections, may lead to amputations, and in more severe cases, death. […]

Functional Electrical Stimulation (FES) is an effective technology for the therapy of patients who suffer from physical impairment. To increase the effectiveness of FES and reduce the cost of hospitalization, a new design is required for the remote and long-term application of FES so that the patients can easily undergo FES during their daily life […]