Cannabidiol (CBD) is the major nonpsychotropic constituent of cannabis, having numerous applications in the management of clinical conditions, including the treatment of chronic pain. The delivery of CBD is hindered by many factors and its delivery to the skin requires a delivery system. We propose the to encapsulate CBD in a polymer that will deliver CBD through the skin for an extended period of time to treat pain and inflammation.

Diabetes is a chronic, metabolic disease characterized by elevated levels of blood glucose, which leads to serious damage to the heart, blood vessels, eyes, kidneys and nerves over time. It is estimated that around 10% of Canadians have diabetes, which is 1 of the 10 leading causes of death globally. While diabetes is highly prevalent, it is also seriously undiagnosed and mismanaged since only 50% of people with diabetes are aware that they have the condition.

Children with musculoskeletal disorders, such as Cerebral Palsy (CP), must follow regular, intensive rehabilitation to improve their movement patterns and walking ability. Often, these protocols are perceived negatively by children, who would rather play and have fun. The use of active video game based training programs could help reduce participant attrition while improving engagement and outcomes.

Encore aujourd’hui, les résidents en chirurgie performent régulièrement un geste pour la première fois sur un patient. De nombreux modèles de simulation chirurgicale existent, mais ne permettent pas la pratique de procédures complexes par manque de dynamisme, de réalisme, ou d’accessibilité. De plus, l’évaluation de la performance chirurgicale se fait encore de manière subjective et peu standardisée.

Abdominal aortic aneurysm (AAA) is a segmental dilatation of the abdominal aorta exceeding the normal vessel diameter by 50%, 3.0 cm being a recognized threshold. As today, due to current existing solutions, only the maximum diameter is monitored, more complex geometric indicators such as aneurysm volumes help physicians assess risks of ruptures. It is then mandatory to have access to automated aneurysm segmentation tool to extract these volumes. In this project, we aim at validating an automated aneurysm (lumen + thrombus) segmentation software developed by Nurea.

Actuellement les prothèses d’épaules dites inversées sont préconisées dans le cas de coiffe des rotateurs endommagée. Ces prothèses assurent la stabilité de l’articulation mais limitent la mobilité articulaire, notamment en élévation du bras. Pour pallier cette déficience, Statera Medical propose un design de prothèse innovant avec un degré de liberté additionnel. En collaboration avec le laboratoire de simulation et modélisation du mouvement, cette nouvelle prothèse sera testée puis optimisée par des simulations musculosquelettiques.

Les blessures ou lésions au travail constituent la 2e cause la plus importante d’invalidité au monde. Afin d’aider les travailleurs dans leurs tâches et réduire l’exposition aux blessures, l’utilisation d’exosquelettes est une avenue prometteuse. Il existe déjà plusieurs exosquelettes d’assistance pour la production automobile et les industries manufacturières, mais ceux-ci ne sont pas adaptés aux travailleurs de la construction.

The project will help Optina validate and further develope a novel technology to predict the presence of significant amyloid (A?) deposition in the brain from a simple, non-invasive hyperspectral retina scan in combination with an artificial intelligence algorithm. Accumulation of A? plaques in the brain is a key hallmark of Alzheimer’s disease (AD), but current methods to evaluate its presence in vivo (A? positron emission tomography imaging and quantification of A?

Many individuals who have severe disabilities or who have suffered traumatic injury are unable to move or speak, and hence, unable to communicate with their family and caregivers. The physiological systems of these individuals are typically functional and can change to reflect the unexpressed mental and emotional states of these otherwise non-communicative persons. In this project, we will design an exhibit which will collect data to generate an emotion classifier using changes in autonomic nervous system signals patterns.