Label-free Multiphoton Microscopy Imaging for Guiding the Surgery of Skin Basal Cell Carcinomas

Basal cell carcinoma (BCC) is the most common cancer type. Although it can be surgically removed, to confirm the clean removal by histology is time-consuming, which complicates the treatment and results in many incomplete removals. We propose to develop a special microscopy imaging platform that can image the skin tissue directly without sectioning and staining. This will enable detection of residual tumor cells by examining the excised fresh tissue samples on site during the surgery, providing immediate guidance for improving the treatment procedures.

Endoscopic Laser Raman Spectroscopy for Colorectal Cancer Detection in IBD Patients

Inflammatory Bowel disease (IBD) affects over 200,000 Canadians. Individuals with IBD have significantly greater risk of developing colorectal cancer. Unfortunately, the screening for colorectal cancer that is currently provided to the general population is inadequate for this group. White light colonoscopy is currently the gold standard but is challenging, as lesions are sometimes difficult to identify. Thus, random biopsies, in addition to targeted biopsies of abnormalities visualized by white light, are often performed.

Validation of the Athlete Sleep Screening Questionnaire (ASSQ) in a student-athlete population

The proposed project is designed to address the gaps in knowledge as described above and critical issues by capturing a large amount of student-athlete sleep data using the Athlete Sleep Screening Questionnaire© (ASSQ©), which is a sleep screening questionnaire specifically designed for athletes. It is a highly efficient and convenient tool, given training and travel time constraints where polysomnography, the gold standard of objective sleep measurement is not feasible.

Infrastructure Services Requirement for Sensor based Well-Being Monitor on a Telecommunications Network

Canada population is getting older as the baby boomers enter their retirement years and the current models for communal care will not be able to scale to meet the demand and continuing to age in place and live independently is preferred leading to the best quality of life and outcomes. The recent COVID pandemic experience has made some of the challenges in communal care and provision of remote care clear.

A novel multi-echo MRI technique for prostate cancer detection and grading

We propose to develop a novel, clinically relevant MRI based technique for prostate cancer detection. We also propose to develop a novel reporting system that would be more accurate and easier to use by the radiologists. The new technique will be first developed on a research MRI scanner at UBC, and subsequently implemented on the clinical MRI scanner at VGH. The main benefit to the hospital will be a new, improved MRI technique for prostate cancer detection and grading.

Dino Island: Improving Executive Functioning in Very Young Children with Autism Spectrum Disorder

Many children with Autism Spectrum Disorders (ASD) have problems with attention and executive functions (EF). Cognitive interventions have great potential to improve attention/EF and related skills (e.g., academic learning, social function, behaviour etc.), but few such interventions exist with even fewer that can be delivered at home. In light of COVID-19, parent-delivered interventions are crucial for continuity of healthcare for children with ASD. We will evaluate the efficacy of a new attention/EF intervention (Dino Island), as delivered by parents at home to their children with ASD.

The Development and Implementation of a Data Management Strategy for a Community Mental Health Organization

While the use of “big data” in the business world and health sector is well underway, mental health services are slower to use their big data, particularly for research and decision-making purposes. Researchers have identified a need to explore the use of big data in mental health organizations, such as identifying strategies and tools to optimize data use, and examining the role of big data in mental health service delivery and policy development.

Development and Validation of a Needle Decompression Simulator to Support the Acquisition and Maintenance of Advanced Care Paramedics Skills

Paramedics perform a range of services in pre-hospital patient care, often being the first responders for the most critically ill patients. As such, it is crucial for them to learn and retain life-saving clinical procedures throughout their career. Simulation has been designed to provide a way to paramedic training. This project focuses on the development of a 3D printed simulator for training and re-training of the needle decompression procedure, a life saving yet rarely performed procedure.

Dynamic multi-type multi-priority emergency surgery scheduling with accurate service duration estimation

The process of setting surgical schedules in a modern hospital operating room suite is complicated. Scheduling surgery involves coordinating two separate but inter-related service distribution channels, namely, elective surgery operations and emergency surgery operations. Elective surgical cases are selected from a broad range of diagnostic categories and are scheduled in advance into surgical time that usually runs during regular business hours.

Assessing student (dis)engagement: Interrogating how access and equity factor into the university experience

Disengagement is not a “steady state” rather it is better conceptualized on a continuum with engagement in some areas as well as disengagement in others (Christenson and Thurlow 2004). The proposed research will explore how issues of access and equity factor into student engagement within the university setting. In particular, this research explicitly examines “push” and “pull” factors for engagement by drawing on several data sources to assess factors affecting retention rates and the experiences of students who leave post-secondary education.

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