Bio-sourced reagents for the flotation of minerals in the mining industry

Many mineral ores are concentrated by froth flotation, a process that often uses toxic chemicals to selectively alter mineral surface properties. With increasing regulatory restrictions, the industry could face a dead end with no alternative reagents that are sufficiently efficient, low cost or environment friendly. It has been previously shown that peptides could selectively bind mineral surfaces.

New Deformation Model for Realistic Real-Time Simulation of Soft Bodies in the Context of Virtual Surgery

OSSimTech develops and sells virtual reality (VR) surgical simulators. This proposal aims to improve the efficiency of the simulation of cutting and deforming organs. The current simulator used by the company is appropriate for a range of surgery scenarios, but for several scenarios, it is too long to compute. The company has plans to expand its portfolio of simulators to less powerful devices, potentially including portable devices such as tablets. In this context, the development of a low-cost simulation approach is of great interest for OSSimTech.

Automated Extraction of Chemical Synthesis Procedures Using Machine Learning

The project involves the development of a system to automate the extraction of synthesis procedures from the texts of organic chemistry journal articles that describe explicit, experimental syntheses of organic compounds and their corresponding properties.

Development of polyclonal antibodies to discriminate and quantify the gluten from three different sources

Current analytical methods used for gluten detection are not able to discriminate the specific source of gluten and tend to overestimate the overall gluten content if from rye and barley by at least 10-fold, leading to limit food choices for coeliac patients. The main objective of this research is to initiate the development of bioanalytical methods specific to wheat, barley and rye, with the aim to discriminate gluten sources and quantify total gluten with more accuracy.

Identification of gene expression biomarkers for different biotic stress conditions in Arabidopsis thaliana and canola

Plants, like humans, sometimes get sick because of the activities of pathogens. When crops are diseased, their growth vigor will be severely damaged, leading to tremendous yield loss. To cure plant disease, farmers have been relying on synthetic pesticides for centuries; but the over-use of synthetic pesticides has caused pest resistance and serious environmental issues. To overcome this dilemma, companies like Terramera Inc. have been developing alternative powerful pest-managing products, namely biopesticides, which are eco-friendly bioactive agents derived from natural resources.

Functional Proteomics to Inform Targeted Therapy for Head and Neck Cancer

To ensure effective cancer treatment, it is vital to match the drug with the molecular characteristics of the patient’s tumor. This research project is focused on developing functional diagnostic assays that may be used eventually in the clinic to stratify patients for targeted therapies. The project will provide a unique opportunity for the interns to work with a clinician at the forefront of cancer treatment and scientists of a partner organization that is developing innovative tools to enable precision cancer medicine.

Visualization of gene structures, phylogenetic trees, and RNA structures

Bioinformatics is at the intersection of computer science, mathematics and biology. With the advent of new technologies, more and more genomic data is being generated. A common task for analysing such data is to visualize it in an interactive way that highlights the results of computational analyses. In the past 5 years, Web browsers have become very fast at data visualization, creating more opportunities to share bioinformatics results on the Web.

The Sherbrooke Personalized Cancer Avatar Model Initiative: A Feasibility Study of Treatment Guided by the Combination of DNA Profiling and Next-Generation Medical Avatars in Patients with Advanced Kidney Cancer

We recently developed a rapid and cost-effective pre-clinical technology that is well suited for precision medicine –the ex ovo chicken embryo ChorioAllantoic Membrane (CAM) assay. Our goal is to perform a pilot study that combines tumor genotyping data and the use of personalized CAMavatars, to predict drug sensitivity in renal cancer patients and to test newly developed cancer therapies. We also propose technical advances to the CAM technology and the development of a humanized CAMavatar model that can be used for testing immunotherapy.

Efficient face recognition for wearable camera devices

Titan Sécurité Inc. has deployed wearable video camera devices for security and surveillance applications, and seeks to accurately detect and recognize objects appearing in captured videos. This project focuses on video-based face recognition (FR), where facial trajectories captured with video cameras are compare against one (or few) reference stills for each individual of interest. The performance of these FR systems is typically poor due to complex and changing video surveillance environments, e.g., variations of facial appearance due to pose, illumination, blur, etc.

Securing Accessible, Quality Early Learning and Care for Families Working Non-Standard Hours in Alberta: A Systematic Scoping Review

Across Canada, many families struggle to find high quality, affordable child care. Most child care options for families are limited to daytime and weekday work hours; this creates even greater challenges for shiftworkers who rely on paid child care. When child care is not available, mothers usually bear the greatest burden as many women, whether parenting alone or with a partner, act as the default primary caregiver.

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