Scaling up CO2 electrocatalysis

CERT has developed a technology to convert carbon dioxide into chemicals using water and renewable electricity in a system called a CO2 electrolyzer. They are scaling up this technology as part of the Carbon XPRIZE competition, a global race to find new technologies to make valuable products from CO2. CERT will take the CO2 from […]

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Ice coverage prediction for the St-Lawrence River

This project aims at creating a model for forecasting ice formation in the St. Lawrence Seaway between the Welland Canal and Quebec City. This will improve drastically the planning of all maritime operations during the winter transition period, before the freeze-up.

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Enhancement of an AI-driven space situational awareness platform for more robust predictions

As transportation to space becomes more accessible, space debris pose increasing risk to operational satellites. Objects orbiting the earth can have a detrimental effect on space travel and threaten the spacecraft and its personnel. These objects can be anything from active and passive satellites, orbital debris, space junk, asteroids and fragments from their disintegration and […]

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Leveraging machine learning to improve trauma-related health outcomes

Severe and multiple traumas can lead to post-traumatic stress disorder (PTSD) which causes distress and difficulty in many areas of life. Military members, veterans, and public safety personnel such as police officers, firefighters, and rescue workers are often exposed to traumatic events on-the-job (seeing natural disasters, human violence, or death). One severe subtype of PTSD […]

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Predicting risk of unplanned hospital readmission within 30-days of discharge using machine learning approaches

Unplanned hospital readmissions are a preventable and costly outcome in the health care system. There are limited tools to estimate risk of readmission. The machine learning process offers an opportunity to develop a risk predictor to identify those at high risk of readmission upon discharge. OKAKI has an opportunity to diversify the commercial products it […]

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Development of a Low-Cost Air Purifier for use in First Nation Houses to Improve Indoor Air Quality Affected by Mould, Smoke Particulate, and Air-borne Viruses such as COVID-19

Poor indoor air quality in First Nation’s homes is a major issue. Toxic particles such as mould, particulate matter from smoke due to tobacco or woodstoves use, radon progeny, and airborne viruses such as COVID-19, pose serious health hazards. An evidence-based research program is proposed to develop and evaluate through laboratory testing and field application […]

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Optimizing Pretrained Clinical Embeddings for Automatic COVID-related ICD Coding

We are building a machine learning algorithm to be able to better understand the unstructured clinical notes that doctors write about patients. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how they are improving over time.

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Moving Beyond BMI: Cardiovascular fitness as biological marker of reproductive health

The Healthcare Foundation plays an active role in improving patient experiences across Newfoundland and Labrador. The significant findings from research funded by the Healthcare Foundation helps improve the way we diagnose and treat our population. After a grant is received a board member from the foundation is updated on the findings of the research, who […]

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Upgrading Locally Available Sanitizer Ingredients for Health Services in Canada

In response to COVID-19 in Canada, demand for sanitizer products has increased dramatically. Health Canada has relaxed guidelines for sanitizers meant for consumers and maintained the regulation for medical grade ethanol in healthcare settings. In response to the increased demand and relaxed guidelines, organizations in the ethanol supply chain have been producing sanitizer products. The […]

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Rational Nanoparticle Design for Efficient Transmucosal Gene Delivery

Cystic fibrosis (CF) is the most common fatal genetic disease affecting Canadian children and young adults, without a cure. Nanoparticles (NPs) have emerged as a promising strategy for delivering genetic treatments for various diseases. However, the development of NPs to treat CF has encountered many obstacles. This is mostly because the human airways, which constantly […]

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