Multi-scale Image integration for Surgical Guidance – Year two

During surgery, a neurosurgeon must refer to three levels of image information: macroscopic from the patient’s MRI or CT, providing anatomical context of the surgical target; mesoscopic information from a surgical microscope or exoscope providing a highly magnified view of the region surrounding the surgical target; and the most important microscopic information provided by histology […]

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Migration assistée, évènements climatiques extrêmes et changements climatiques: Étude de cas des populations d’épinettes blanches de l’est du Canada

L’épinette blanche est une espèce particulièrement sensible au gel printanier et automnal. En endommageant les méristèmes responsable de la croissance, le gel entraîne de fréquents échecs de régénération, surtout en zone boréale. Puisque le réchauffement moyen de la température de l’air déclenche plus hâtivement le débourrement des bourgeons, les méristèmes s’exposent davantage aux évènements de […]

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Software quality monitoring using AI/ML techniques

This project aims at employing AI and machine learning techniques to monitor and improve software quality. The quality of the system is to be measured by several metrics including the number of existing software defects, the normal/abnormal behavior of the system, test quality, test coverage, etc. The project focuses on studying historical data and trends […]

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Development of a Cell-Based Signaling Assay to Measure the Potency of a Therapeutic Antibody

Cytokines are proteins that can modulate cellular activity by binding to membrane-bound receptors or soluble receptors. When a cytokine binds to a soluble receptor, it follows the trans-signaling pathway. This signaling pathway induces unique effects on cellular activity which can drive disease progression. This proposal describes the development of a cell-based assay that can be […]

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MBSE for Modeling, Evaluation, and Optimization of Modular Robotic Systems: Case Study on AIS

Since 1960, System engineering has been used as an approach for multidisciplinary and concurrent design of complex systems. It relies on a system-centered thinking to solve problems and different design process models have been used for system engineering such as V-model. Model-based System engineering (MBSE) was developed to replace documents with models. AIS is developing […]

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No (or low) biocide antifouling coatings for aquaculture

Biofouling is the process where marine organisms adhere to surfaces used in aquaculture and marine applications, such as tanks, netting, plumbing, and hull surfaces. The additional weight and drag on surfaces and narrowing of openings in netting or plumbing strongly affect energy costs and efficiency of operations. Conventional anti-biofouling coatings contain tin or copper, which […]

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An examination of the sex-specific psychophysiological markers of risk for physical and mental health problems across modes of cannabis use

The interns for this proposed project will work under the supervision of Dr. Thompson to extend our understanding of the health risks associated with different modes of administration and investigate sex and gender differences in cannabis use, practices, effects, and outcomes. Identifying indicators of negative health outcomes is an important step in developing effective cannabis […]

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Advanced Analytical Techniques integrated with Machine Learning for Proactive Raw material Characterization for Vaccine Production – Year two

Over the last several decades, challenges in the development, production, supply, and use of vaccines have been raised and by consequence had led to increasing concern around the world. As a result, an increase in research and innovation in the vaccine industry is needed. In this sense, one of the most critical factors in the […]

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3D spine imaging using tracked ultrasound and artificial intelligence

Obtaining accurate images of the spine is important for different medical purposes. For example, to measure how deformed the spine is in patients with scoliosis and select the most suitable treatment. Images can also be used to guide a clinician while inserting a needle to reach a exact location in the spine to administer anesthesia. […]

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The Application of Single Domain Antibodies in Biasing GPCR Signal Pathways – A Case Study with the Adenosine A2A Receptor

Single domain antibodies (sdAbs) represent a versatile class of heavy chain antibodies lacking a paired light chain and encoded by VHH germline genes typically expressed in camelids. KisoJi Biotech has developed a transgenic mouse line in which each mouse expresses multiple camelid VHH genes capable of specifically binding any antigen of interest. The small molecular […]

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The Application of Single Domain Antibodies in Biasing GPCR Signal Pathways – A Case Study with the Adenosine A2A Receptor – Year two

Single domain antibodies (sdAbs) represent a versatile class of heavy chain antibodies lacking a paired light chain and encoded by VHH germline genes typically expressed in camelids. KisoJi Biotech has developed a transgenic mouse line in which each mouse expresses multiple camelid VHH genes capable of specifically binding any antigen of interest. The small molecular […]

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Understanding the neural underpinnings of a novel PTSD therapy: Goal Management Therapy

A wide range of cognitive faculties are commonly compromised in numerous trauma-exposed populations, leading to impaired functioning, and reduced treatment response rates. There is a dire need for novel therapies that can directly target such deficits in top-down cognitive control. Goal management training (GMT) is one such cognitive remediation therapy found to be effective for […]

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