To treat infant and toddler patients, a range of over-sized valves are currently used to replace their malfunctioning heart valves. It is well understood that larger valves are not appropriate given the smaller size of children’s hearts, leading to surgical complications and patient prosthesis mismatch. Here we proposed a unique design of our MHV that […]

Estimates of population size and structure of the Davis Strait polar bear population are uncertain due, in large part, to the prohibitive costs of conducting regular aerial surveys. In recent years, Inuit have indicated that increased bear abundance has resulted in public safety concerns. In addition, Inuit believe that polar bears have negatively impacted other […]

Up to half of patients with COVID-19 requiring mechanical ventilation in an intensive care unit (ICU) will develop ICU-Acquired Weakness (ICUAW). Neuromuscular electrical stimulation (NMES) holds promise to both prevent and treat ICUAW. NMES applies electrical impulses to muscles through electrodes placed on the skin to induce muscle contractions, and is highly effective in maintaining […]

In response to the COVID-19 pandemic, tech industry is racing to develop apps as well as wearable devices to help people to trace contacts, to self-assess, and to self-monitor the development of COVID-19 cases. However, these apps and devices work independently of each other, which leave it to users to connect pieces of information to […]

The overall objective for this project is to support the research of one PhD student to advance the methods for modelling energy-climate policies, a field in which START in the School of Resource and Environmental Management at SFU is one of the leading research units in the country and in which Navius Research Incorporated is […]

Social distancing is recommended globally to slow down the COVID-19 virus spread in order to prevent the healthcare system overload. Particularly, hospital visits increase the risk of infection for non-infected patients and healthcare workers. Therefore, virtual healthcare can help the healthcare system in many ways. This project aims to develop a user-friendly, low cost, and […]

Over the last decade, multiple pandemic events have highlighted the vulnerability of the world to existing and emerging infectious threats. Currently, COVID19 has infected >4M people resulting in >300K deaths. Although there are candidate drugs in development, the projected term until an effective COVID therapy or vaccine is available is projected to between 1-2 years. […]

COVID-19 patients have a higher incidence of thrombotic events. Increased hypercoagulability was found in severe COVID-19 patients, but the mechanism of how SARS-CoV-2 virus affect our blood coagulation system is not fully understood. Platelet activation and blood coagulation are complementary, mutually dependent processes in haemostasis and thrombosis. Platelet contains large amount of integrin ?IIb?3 on […]

The goal of this project is to develop a Card Detection for Automatic Documentation solution that will be able to detect all features of a collectible card from a scanned image. Given a large number of design variations in cards, simple OCR cannot provide all available information. We aim to deliver an AI-driven solution deploying […]

The current global health emergency surrounding the coronavirus outbreak highlights the need for new treatments to combat virus infections and ways to prevent similar outbreaks in the future. Our research team has devised novel strategies to develop an effective vaccine and anti-viral drugs to treat and prevent infections by such viruses. This grant application is […]

behaviours within a given organization. This will allow to remedy and/or remove the counterproductive, and to enhance and enable positive behaviours, civility and engagement. The platform that will be developed is unique and distinctly not social feedback nor 360-degree feedback. The cloud-based systems that will be developed should detect, measure, map, correct, and sustain the […]

Many of the current greenhouse cultivation processes can be labor intensive, unable to accurately capture all information on a plant, and hard to manage as grower’s operation scale. By proposing a new method of collecting and analyzing data in these greenhouse using computer vision and machine learning, interns will try to improve the efficiencies of […]