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.

Using multivariate deep-learning algorithms for automatic quality control of high-resolution MRI

NeuroRx is an imaging contract research organization (CRO) specialized in the central nervous system (CNS). This company utilizes state-of-the-art digital image processing techniques to produce accurate and precise outcome measures for clinical trials of drugs in development. Prior to analysis, all scans must pass Quality Control (QC). The goal of my project is to incorporate advanced computer algorithms to automatically classify the quality of high-resolution structural brain Magnetic Resonance Images. The advanced computer algorithms will include deep learning algorithms.

Validation of Quality of Life Instruments for acne involving face and torso; and for hidradenitis suppurativa

The goal of this project is to provide evidence of validity for two newly developed measures of quality of life; one for hidradenitis suppurativa (HS) and one for acne. Both HS and acne negatively impact quality of life; however, to date, there are no disease-specific, patient-centered quality of life measures. The results of this project will provide healthcare professionals with tools to assess the impact of these conditions and their treatments (HS and acne) on patients’ quality of life.

Appropriate Neuromuscular Rolling Intensities and Applications

Prior research has shown that rolling muscles can increase flexibility without performance decreases. These studies have used a variety of rolling pressures (intensities). It is not known whether higher or lower rolling pressures are better for improving flexibility. Thus one of the studies will examine different pressures of rolling on flexibility and muscle performance. On the other hand, it is not known whether the rolling effects are improved when combined with stretching. It is also not known what the duration of these effects might be.

Vital signs monitoring at home using the pulse oximeter utilizing analog sensors on a mobile device

The research project will develop key algorithms that enable pulse oximetry, on a smartphone, to be used effectively as a device for monitoring the function of heart and respiratory system at home. LGTmedical has developed a pulse oximeter that utilizes inexpensive clinical sensors driven by software running on a smartphone, sending the driving signals through the audio port. This technology already operates with clinical accuracy for uses in spot-check monitoring of blood oxygen and heart rate.

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