Anticipated project activities We provide services for our clients, the pharmaceutical companies, in all forms of advertising to communicate about new products or services to the physicians and patients. Significance of the project We often help bring new innovative treatments and drugs to the attention of the physicians and patients which allows for new and […]

Road departure is a critical factor in vehicle accidents, which could happen as a result of a driver’s impairment or lack of attention, or the road surface condition due to inclement weather. Therefore, it has been a high priority for the automotive industry to improve advanced systems for stability and path control. GM novel approach […]

Deep learning in medical imaging analysis has revolutionized the field in areas such as computer-aided detection and segmentation of clinical abnormalities. Several studies have been published on lung cancer screening using deep learning methodologies. Specific to lung cancer screening, algorithms have been trained to automatically detect and diagnose lesions in the lungs in low dose […]

Patients with end-stage renal failure (ESRF) require hemodialysis (HD) to clear their blood from metabolic waste products. While generally considered mildly invasive, research shows that HD can induce severe side effects, often affecting microvascular blood flow in tissue. We successfully developed a small animal model that allows us to successfully dialyze laboratory rats (approx. 250 […]

We are witnessing an explosion in the use of machine learning (ML) algorithms with significant impacts on the world’s economic and social activities. The backbone of a machine learning algorithm is a deep neural network which is composed of hundreds to thousands of neurons. To make the neural networks (NNs) functional, they need to be […]

In Ontario, 95% of its paved roads in the province are paved with asphalt or asphalt surface treated. Due to severe weather conditions, the lifetime of asphalt roads is relatively short and regular maintenance is required. The annual cost of maintenance is estimated to be around 2.14 billion dollars. This project aims to explore nanotechnology […]

Presently we do not know the extent to which different types of therapies can assist those who are in the chronic phase of stroke recovery. Technologically innovative rehabilitation devices are now becoming available to clinicians, and often employ video game-like scenarios to motivate the patient to move. However, there is a lack of evidence documenting […]

Aging adults want to age in place in their homes to remain in their community of friends, family and activities. This independence for many depends on the support of family care givers such as spouses or adult children that may live separately or work outside the home. The use of ambient sensors in the home […]

Scrawlr is a platform for unconstrained, global interaction with all internet content and users. Scrawlr allows for user evaluation and unconstrained classification of any Scrawlr-hosted or non-Scrawlr content. For non-Scrawlr content, this evaluation and classification allowance will be first at the URL level but will subsequently be provided at the individual content component level. Scrawlr […]

Ardra Inc. has sustainably produced many high-purity chemicals that are used for various flavor, perfume, and cosmetic applications. Combining industrial/business expertise provided by Ardra with academic/research skills provided by Dr. C. Perry Chou’s lab, we are aiming to effectively produce high-value heme compound using engineered E. coli host organism. Major efforts will be dedicated toward […]

The coronavirus pandemic has elevated global health governance from a “low politics” position in foreign policy practice to an economic and security priority of international importance. Conventional foreign policy approaches to pandemic management have proven ineffective in the time of Covid-19, as states struggle to fulfil public health obligations in an increasingly globalized world. Canada’s […]

The main purpose of this project is to develop the methodology to detect and predict driver drowsiness at the early stages using physical and physiological variables. A feasibility test is conducted to evaluate the accuracy and performance of the proposed methodology. The existing databases are leveraged to extract the required data. Signal processing, image processing, […]