External validation and updating of prognostic models to identify hospitalized children at highest risk of in-hospital mortality in low-resource settings

Most child deaths occur in poorer countries where children who seek care at a hospital die soon after arrival. The majority of these deaths are from severe infections. Simple treatments for severe infections are available but need to be administered quickly. However, it can be difficult to identify which children are most at risk of dying from a severe infection. Risk prediction models can help frontline health workers with identifying very ill children and support decisions about treatments or referrals to higher levels of care. This can lead to faster treatment and save lives.

Exploring the Use of Simulation-Based Learning with Community-based Settings to Promote Clinical Practice Competencies in Practitioners: PART 2

This project seeks to answer the overarching research question, how can the use of simulation-based learning (SBL) within a community-based setting improve access to training and the development of clinical practice competencies in practitioners (e.g. social work/psychology students/professionals). The project will expand access to experiential learning within a community-based setting using multiple modalities within the area of SBL (live, in-person, virtual, and gaming simulations) to increase access to training and upskilling opportunities for both student and professionals.

Data and Visual Analytics for Prediction of Health Care Utilization Involving Musculoskeletal Disorders in BC

This study will establish the utilization rates of musculoskeletal services, for example, low-back pain, across healthcare systems in BC. To capture the utilization rates of musculoskeletal services, we can detect and establish the current frequency of these services related to the most recent healthcare expenditures. Knowing the utilization and expenditures would allow BC Chiropractor Association to update their allocation of funding with BC Ministry of Health to improve services while mitigating costs during the pandemic.

Structure-Activity Relationships of Hafnium Dioxide Nanoparticles for Cancer Radiotherapy and Imaging

Nanoparticles made from hafnium dioxide (hafnia; HfO2) have emerged as a potential enhancer of cancer radiation therapy. Such nanoparticles allow for reduced doses of radiation to be used on tumors, sparing healthy tissue from side effects without reducing its anti-cancer effects. However, despite their potential, it is not yet known how different nanoparticle properties, such as size and shape, effect their efficacy or risk of side effects. This project thus aims to gain an understanding of the relationship between nanoparticle properties and their biological effects.

???? (Pisuktie): The Walker : a participatory documentary research-creation

This research is to create a short experimental film which will facilitate intergenerational conversations between Black-Inuit youth and elders. As a creative expression and telling unknown stories, it aims to strengthen Inuit youth mental health, positive Black-Inuit identity and leadership based on learning what has come before.

Assessing Executive Function Through Eye Movements in Concussed Individuals

When a concussion occurs individuals can also experience several different subtle changes to eye movements and performance that is difficult to recognize. To understand how these eye-movement problems affect the recovery process the goal of the study is to investigate if these eye-movement problems are a result of executive functioning issues in the frontal lobe due to anatomical visual projections. Assessing how the eyes function in response to injury is imperative to further understanding symptoms of concussions and informing rehabilitation plans.

Prediction of preterm birth in twin pregnancies using machine learning

Preterm birth (PTB) is the leading cause of death in twin pregnancies. A variety of parameters, such as cervical length, maternal medical history, demographics, and obstetric characteristics all have been shown to affect the risk of PTB. However, the relationship is not obvious. Early prediction of PTB in these pregnancies can assist physicians in identifying those patients who may benefit from preventive interventions and closer monitoring. This project aims to use machine learning to create an algorithm that predicts which twin pregnancy is at a risk of PTB.

Peptide-based materials for rapid sutureless and scarless surgical repair

Every year in the United States alone, over 30 million surgical incisions are performed, and another 7 million wounds are causes by trauma. Most of those wounds will heal on their own, but nonetheless always lead to scarring no matter what kind of material is used to close the wound. There are a range of materials and techniques used to close wounds. All agree, however, that an ideal approach to wound closure should be easy to use, fast and painless, cost-effective and not create permanent scarring. Many advancements have significantly improved wound healing.

Detecting Parkinson’s Disease Using a Video-Based Eye-Tracking Approach

Parkinson’s disease (PD) affects 1 in 5 Canadians and this number is expected to increase as the population gets older. Diagnosing the disease early will lead to earlier treatment, better quality of life, and lower healthcare costs. There is currently no definitive test for PD. Doctors depend on looking for symptoms, such as trembling hands, to make a diagnosis. Early symptoms may be hard to see and look like the symptoms for other diseases. To help doctors find these early symptoms, Dynamiris has created a fast and easy-to-use tool, SimplyView, to screen for risk of PD.

Homelessness Prevention in Youth and Families Across Six Canadian Cities

Each year in Canada, approximately 40,000 people under the age of 24 will experience homelessness. Youth experiencing homelessness are highly vulnerable to crime, violence and sexual assault. Once homeless, youth are at high risk for multiple episodes of homelessness or chronic homelessness into adulthood. Interventions must be youth-centered, low-barrier, strengths-based, and prioritize diversion and/or family and natural supports to prevent long-term homelessness and its deleterious effects. One approach to prevention is through shelter diversion.