As a result of increasing obesity, non-alcoholic fatty liver disease (NAFLD) is now the most common chronic liver disease. Non-alcoholic steatohepatitis (NASH) is the pathogenic form of NAFLD and can progress to cirrhosis and need for liver transplantation. There is currently no Health Canada-approved therapy for the treatment of NASH. The intestinal microbiome has been […]

Amyloid cardiomyopathy is an under-recognized cause of heart failure and is caused by normal proteins in the bloodstream going bad (known as amyloid) and accumulating in the heart. This accumulation of amyloid in the heart tissue causes the wall of the heart to become rigid and ineffective at pumping blood to the rest of the […]

The Phytoremediation Pilot Project is a collaborative effort between Aya Kitchens and Landscape Architect Pete North to create a buffer system that will stabilize soil contamination left by historic industrial activity at 1551 Catepillar Rd., Mississauga. The site borders the Little Etobicoke Creek, a tributary to the Etobicoke Creek and designated a Significant Natural Area, […]

Fungal pathogens of agriculturally significant crops pose a serious threat against global food security. This is exacerbated by the limited classes of fungicides that are commercially available for the farmers and the rapid emergence of resistance against the existing fungicides. Furthermore, resistance against agricultural fungicides can poses serious threat to human health as it can […]

Chitin is an abundant resource in the form of shell waste from food industry in Canada and the world. BOCO Bio-Nanotechnologies has currently the infrastructure in place for scalable extraction of chitin nanowhiskers (CNWs) from crab shells. CNWs are the crystalline form of chitin molecules, possessing high strength, stiffness and aspect ratio, making them an […]

With limited funding available, managers must prioritize which invasive species and which areas need to be managed. This project will involve finding out which sites and species need to be prioritized for management within the Greater Toronto Area. Through formal discussions with different stakeholders in the area and by using existing data (e.g. species distribution […]

Spiral tubes and rings have been broadly used in the manufacturing sector, especially for the automobile industry. However, the failure of the rings will significantly shorten the service life of components, even leading to a disaster when the part is under operation. Generally, these tubes and rings are made from steel sheets spirally using the […]

This proposed study will significantly enhance our current understanding of how specific intra-operative factors can impact patient outcomes. Our proposed work will provide a proof of concept that machine learning can objectively predict a specific, high-impact post-operative complication, allowing us to move forward with scaling this work to a wide variety of surgical settings. Moreover, […]

Hospitals strive to perform cutting edge medical treatment, treat all patients fairly, and reduce operating costs, while also enabling caregivers to spend more time interacting with patients. Artificial intelligence and machine learning promise these things. However, medical data provides unique challenges for machine learning. Currently, if a hospital wants to include an algorithm for automated […]

Anticoagulation with Warfarin is indicated and required for post-operative cardiovascular patients. However, it is a high-risk medication with a narrow therapeutic range where sub-optimal dosing can lead to complications and even death. While multiple risk factors have been associated to Warfarin sensitivity, the prediction of optimal Warfarin dosing strategies remains ineffective and requires trial and […]

Healthcare facilities collect and produce vast amounts of clinical-relevant data. Various AI-related methods (like computer-aided detection for mammography and the learning and visualization of clinical pathways) are applied to healthcare these days, and visualization techniques are also used to support clinicians due to the complexities of clinical data. This self-contained survey focuses on the assessment […]

type of treatment they will provide to patients. With technological improvements and the availability of a significant volume of data, it is increasingly difficult for care providers to properly evaluate and analyze the options available to them. The current health condition of the patient–reflected in the monitored observations which are recorded in EMR–may depend on […]