Automatic AI based detection of cranial deformity in infants

Positional plagiocephaly is an increasingly common form of cranial deformity in infants, affecting approximately 40% of infants under the age of 1. While it is not associated with developmental defects or learning impairments, there can be long term aesthetic implications for deformity that is not appropriately addressed early in life. Early identification of plagiocephaly and […]

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Local delivery of biologically active peptides to correct curveprogression in a mouse model of EOS

Early onset scoliosis (EOS) leads to severe, progressive three dimensional deformity of the spine in growing children, which is corrected either by external bracing or surgical placement of rods adjacent to the spine. Mice deficient in signaling through the type three fibroblast growth factor receptor (FGFR3-/-) develop scoliosis by four weeks, which worsens progressively with […]

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Ultrasound Nerve-block Guidance using Machine Learning

One of the most critical components of ultrasound-guided nerve blocks is the accurate detection of a nerve within an ultrasound image. Trying to classify the various types of tissue in a noisy, greyscale ultrasound feed is a very daunting task. Therefore, a software solution would help doctors to perform the procedure in a precise and […]

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Innovative tools to improve knee health and predict an athlete’s risk of anterior cruciate ligament (ACL) injury

Anterior cruciate ligament (ACL) injuries are one of the most frequent injuries among athletes. Currently, the only way to predict an individual’s risk of incurring an ACL injury is through prohibitively expensive motion analysis laboratories. There is a critical need to develop novel tools that improve knee-health and are well-received by the athletic community. This […]

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Prediction of Heart Failure Outcomes in Patients with Type 2 Diabetes Mellitus: Validation of the TRS-HFDM Risk Score

Diabetes affects approximately 4 million Canadians. Diabetes is associated with increased risk of heart failure, which is also substantially more common after a heart attack. Patients with diabetes are particularly vulnerable due to the combination of these risk factors. As a result, risk models that can identify diabetes patients who are at the greatest risk […]

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Creating a Map of Adipose Tissue Distribution and Automated Analysis for Plastic Surgery

The surgical practices involving fat are constantly evolving at the cutting edge of technology. Procedures involving fat manipulation, such as liposuction, contain a degree of subjectivity which is mainly guided by the surgeon’s visual or tactile perception of the underlying fat. This lack of subjectivity raises an important issue regarding the surgeon’s ability to replicate […]

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Population study of First Nations Communities and the Quebec population to determine HLA frequencies and common and rare haplotypes

The determination of HLA (Human Leukocyte Antigen) is of crucial importance for hematopoietic stem cell transplantation. The wide variability of the HLA system has some progressive advantages, but can make the search for compatible donors more complex for specific populations. While populations in the regions of Quebec were characterized several years ago for the HLA […]

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Development of a Proof of Concept for a System to Increase Success Rates of Organ Transplant and Donation Matches

Transplantation is the preferred treatment for patients whose kidneys have failed. There is an ever-growing gap between patients in need for a transplant and available donors. In response to this need, there has been an increase transplantation of donors who experienced circulatory determined death (DCD). However, many potential DCD donors fail to end up in […]

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