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 […]

In order to investigate proteins in their natural environment one can attach tiny reporter molecules to them that can be traced with appropriate instruments. However, these small reporter molecules may often cause strong perturbations to the functionality of the proteins, or cannot be seen due to experimental restrictions like low concentrations. Bioorthogonal chemistry aims to […]

Medieval nuns were supported by a wide range of people, including lay sisters and brothers who performed much of the physical and manual work of the convent. Yet scholarship has long ignored these members of the monastic community. My research attempts to address this gap by focusing on lay sisters and brothers in fourteenth- and […]

There is massive growth in the area of smart cities (e.g. sensors in streetlights), smart cars, and “smart people” (sensors on people, e.g. wearable computing). In some cities like San Diego, there are cameras and microphones in nearly every streetlight in the downtown core area. Most cars made now have one or more cameras in […]

As of 2012, about three million Canadians suffer from chronic kidney disease. Patients with kidney failure need dialysis or kidney transplantation to survive. LDKT (LDKT) is the best treatment option for many patients with kidney failure, however, it is not used as much as it could be. Patients who belong to ethnic minority groups are […]

Our DNA exists in many different forms. The G-quadruplex is a type of DNA structure made from four strands of DNA. These structures are highly stable and potentially form throughout the genome at clinically important sites. To understand how G-quadruplex structures form, we need to investigate the physical forces that hold the molecules together. When […]