Towards Detection of Subclinical Joint Bleeds in Hemophiliacs: Advanced Imaging

This project aims to assess how the use of the novel “ultra-short echo-time” (UTE) MR imaging technology can “add value to” conventional MRI for detection and quantification of blood products in hemophilic joints. We will test this novel technology in joints of hemophilic patients with different stages of arthropathy presenting with blood products at different stages of degradation as compared with existing MRI sequences.

Pelvic Floor Health and Sexual Well-Being in Men

The promotion and maintenance of men’s pelvic floor health is a growing concern as pelvic disorders affect a substantial number of men and their prevalence is expected to increase as a result of Canada’s aging population. Pelvic floor disorders go beyond their physical consequences as they can negatively impact men’s psychological, sexual, and social quality of life. Evidence strongly suggests pelvic floor muscle training can contribute to the promotion and maintenance of pelvic floor health and to the treatment of symptoms associated to pelvic floor disorders.

Concussion Diagnosis: Improving clinical decision making in football

Diagnosing and managing concussions have become an increasing priority in sports medicine. The King-Devick test is a screening assessment of neurological functioning detecting impaired eye movements and saccades. During the 2016 Canadian Football League (CFL) season, all players will undergo pre-season (baseline) and post-injury testing with the King-Devick test in addition to the CFL’s standardized medical evaluation for concussion. This project will conduct a sensitivity and specificity analysis of the King-Devick test to evaluate its effectiveness in diagnosis concussions.

Preparation of a new formulation to prevent surgical adhesions

Inter-tissue adhesions cause significant complications following veterinary surgery of domesticated animals. Fucoidans are natural, negatively charged, carbohydrate polymers (polysaccharides) from seaweeds that have been successfully developed and commercialized for reducing such adhesions, thereby improving surgical outcomes. Currently, the inherent variability in the molecular size and composition of native fucoidans extracted from seaweed presents a significant barrier for their break-through application in human surgery.

Enhancement of signal quality in Near Infra-Red (NIR) spontaneous Raman spectroscopy using coherent detection techniques for use in real-time cancer microsurgeries

Raman spectroscopy is a compound identification technique that can be used for real-time identification of cancerous tissues during surgery. The development and clinical translation of an intraoperative surgical-guidance instrument based on this technique is the main objective of ODS Medical, a Canadian startup. However, Raman signals are intrinsically very weak thereby requiring the measurements to be done in an absolute dark environment in order to minimize interferences by sources of light in the operating room.

Crif1 : Protein expression, purification and crystallisation

Human Crif1 is a protein with multiple functions, playing important roles in embryonic development, cellular stress, cell cycle regulation and mitochondrial membrane integrity. CRIF1 is coined to play a regulatory role in the Bone Marrow microenvironment-induced leukemia cell cycle arrest possibly through interacting with CDK2 and acting as a cyclin-dependent kinase inhibitor.
In this project, we will express human Crif1 protein in baculovirus system, purify it with affinity chromatography and followed by crystallisation.

Improved Care for High Risk Arthritis Patients

Arthritis affects 4.6 million Canadians and the demand for timely and effective care is critical to better patient outcomes and cost effectiveness. The research projects will identify better models of care delivery for:
1) at risk patients with obesity who may require knee and/or hip replacement surgery or require conservative medical treatment in place of surgery; and,
2) for inflammatory disease (IA) patients who require rapid medical intervention to limit disease progression and symptoms.
This research will use data modeling tools for such patients to analyze the risk and need for surgery.

Implementation and Evaluation of an Integrated Chiropractic Service for Musculoskeletal Conditions into the Canadian Forces Health Service

Low back pain is a leading cause of disability worldwide. The Canadian Armed Forces (CF) has a greater incidence of LBP than the general population. LBP is responsible for a large proportion of medical releases in the CF with many cases resulting in lifelong pain and disability. Improved early access to evidence-based care could help prevent chronicity and recurrences, and reduce health care costs. The purpose of this project is to implement and evaluate a new inter-disciplinary, patient-centred health care service that includes chiropractic services for the management of LBP in the CF.

Assessing the validity of virtual simulation as a learning tool in the medical field.

With the increasing prevalence of mobile devices, it is unsurprising that they are also being adapted for use as tools for learning and perfecting complex procedures. One of these uses is training health care providers through simulated medical procedures. Two important points should be considered when designing simulated systems to assess the efficacy and efficiency of these teaching tools. 1) Individual differences in emotional biases and learning profiles may necessitate personalized stimulus presentations within simulated environments to achieve optimal and translatable learning.

Statistical and Physiological Beat Modelling of Seismocardiogram Signal

"Seismocardiogram (SCG) is a signal that is captured by placing an accelerometer on the human chest. This signal captures very important timing information such as opening and closing of the heart valves. In addition to these timing information, the non-invasive nature of this signal makes it an attractive solution for remote monitoring of patients with heart conditions.
The morphology of SCG signal changes depending on different types of heart conditions and diseases. A mathematical model represents the morphology of a signal in terms of certain parameters.