Innovative Projects Realized

Cross-functional teams to develop and commercialize AI-powered solutions – Part F

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Using Machine Learning to Predict Clinical Outcomes in Users of the Digital Health App, Manage My Pain

ManagingLife developed Manage My Pain, an app that lets users track and analyze their pain for better self-management of symptoms. ManagingLife aims to predict clinical outcomes (e.g. anxiety, depression, pain interference) and identify contributing factors from its 85,000 users. The goal is to create a validated, explainable machine learning model that can forecast clinically relevant outcomes and analyze its attributes.

Stagiaire planification stratégique Marketing

Notre projet se centre sur l’amplification de notre portée marketing pour mieux servir le secteur manufacturier des Maritimes. Avec l’aide d’un stagiaire en MBA et de son professeur, nous analyserons la performance de nos outils marketing actuels, élaborerons une stratégie détaillée axée sur les réseaux sociaux, et établirons un calendrier d’exécution pour les campagnes à venir. Cette initiative vise à renforcer notre visibilité, à améliorer la compétitivité des entreprises manufacturières qui utilisent nos services, et à enrichir la contribution économique de notre région.

Extracellular biomarker discovery to develop a specific therapeutic treatment in cancer

Cancer is one of the leading causes of death worldwide with approximately 8 million deaths in 2010. Most cancer treatments lack specificity and affect the whole body, with toxic effects on both cancerous and normal cells. Although new therapies are emerging, targeting cancer cells is a challenge because of the lack of specific markers on cancer cells. Biomark Technologies Inc. has found that the expression levels of the gene coding for the protein SSAT 1 is upregulated in cancer cells. The inhibition of this protein is detrimental for the survival of cancer cells, making it an attractive target for cancer treatment. In this proposal we aim to find novel cancer cell markers in order to develop treatments that will recognize cancer cells and allow internalization of the drug to inhibit the activity of SSAT 1 ultimately causing the death of the cancer.

Cairo’s Public Space Problem: A Historical Overview

“Cairo’s Public Space Problem: A Historical Overview” aims to study the development and de-development of urban sites allowing the free gathering of Egyptians from different classes during the first half of the twentieth century. It explores the different forces at play–local and global, popular and state–in determining the shape of Cairo’s public squares, parks, and other open spaces. This project contributes to our contemporary efforts to grapple with potentially explosive urban problems often exacerbated by climate change by offering a long view onto the question of inhabiting the city. Since Concordia and LSE are urban institutions with a major footprint in their respective cities, the research should be of some significance to these institutions.

Materialism, Minimalism, and Motivation: The Impact on Athletes’ Financial Well-Being

The way people spend their money—their consumer behaviour—can be categorized in terms of materialism or minimalism. More specifically, materialist individuals tend to accumulate material goods, seek new acquisitions often overbuying, and cling to useless objects. In turn, minimalists purchase only essential items, reuse what is still functional, and discard the superfluous. Although materialism is often associated with extrinsic motivation and minimalism is associated with intrinsic, this relationship is more complex. For example, materialists can be linked to intrinsic goals when resource allocation is done in an altruistic manner aiming to help others, and minimalism can be driven to project an image of sustainability to achieve social status and prestige. It is important to better understand how motivation orientations impact consumer behaviours because these concepts impact financial well-being. A better understanding of how these concepts interact can help prevent the negative consequences that may accrue from low financial well-being (e.g., bankruptcy, stress and anxiety, depression). As such, the goal of this study is to explore the influence of motivation orientations on the impact of consumption behaviours on financial well-being.

Pharmaceutical testing capacity of novel intestinal organoid for motility studies

Intestinal ‘organoids’ refer to a miniature intestine that can be grown in a laboratory dish. This organoid can mimic the biology of the real human intestine. We developed a novel organoid which can replicate our intestine to an astounding degree. In this project, we aim to test the capacity of this novel intestinal organoid to assess the efficacy of existing intestinal therapeutic drugs and also test the safety of existing anti-cancer drugs. This will allow us to assess if this novel organoid will be useful in testing drugs in development in the future. Using small but biologically powerful organoid such as this could help us make more effective yet safer drugs, faster.

LR-FHSS-base network size estimation for dts-iot

The project’s goal is to find out if the network size estimator L-OCI, designed for direct-to satellite Internet of Things LoRa based scenarios, can be extended and/or adapted to work based on LR-FHSS. We want to see if they can handle many devices, and whether this combination is good or bad for a specific problem. If it works well, it can help connect more areas and resources. The benefit for the participating institutions is that they will learn how to use L-OCI and LR-FHSS together, which can be very helpful for future research in direct-to satellite Internet of Things.

A Computational Modeling Approach For Magnetic Resonance Navigation In Targeted Embolization

The proposed project is centered on developing an advanced technique known as Magnetic Resonance Navigation (MRN) for liver cancer treatment. This cutting-edge method employs the magnetic field of MRI machines to create micro-particle aggregates, which are then precisely directed to liver tumor-feeding arteries using magnetic field gradients. This approach promises to be less invasive and more accurate than existing treatments. A critical aspect of this project involves a thorough study of particle aggregation to ensure the safe delivery of treatment without harming healthy tissues. The aim is to refine and perfect the MRN process by modeling the various forces that influence these aggregates under blood flow conditions.

This initiative is a collaborative venture between CR-CHUM in Canada and Inria in France, bringing together their respective strengths in medical research and computational modeling. The expected benefit of this collaboration is twofold: firstly, to establish a new benchmark in liver cancer treatment that could significantly enhance patient outcomes; and secondly, to exemplify the power of international collaboration in fostering medical technological advancements. In addition to advancing liver cancer treatment, this project will significantly bolster the research capabilities of both institutions.

Body and Soul in Ancient Philosophy

This project focuses on the ways in which ancient thinkers conceptualized the notions of “body”, “soul” and their relationships, as well as the receptions these concepts had in classical, modern and contemporary posterity. This will allow studying the physical and mental dimension of the explanations produced by ancient thinkers for the phenomenon of life, mind, emotion, health and disease; for the interaction of the human being with his physical environment and with other sentient beings; for the interaction between between the life principle and the bodies of sentient beings. The incorporation of the body in traditional philosophical themes is, more than a current trend, a necessity, since it not only addresses the explanation of the human being in its entirety, but also sheds important light on the ethical and political dimension of human action. . Although the study of ancient philosophy is no stranger to this articulation, approaches that either focus solely on the role of reason or treat the two concepts in isolation have traditionally prevailed, favoring a dualist exegetical stance. . This project seeks to look at both perspectives and study, beyond Plato and Aristotle, other receptions that the problem had in ancient times.

Machine learning developer interns within cross-functional teams to develop and commercialize AI-powered solutions (12)

AltaML is an innovative company capitalizing on a major technological trend: artificial intelligence (AI) technologies, enabled by big data, are driving a fourth industrial revolution. AI will transform all industries, but traditional industries face challenges in implementing AI. AltaML has a unique business model to overcome barriers to adoption of AI solutions by industry, which is to bring the innovating startup together with the large organization, thereby bringing together rich datasets, AI talent with a playbook for industry application and the close collaboration of subject matter experts and AI experts–with a mindset for change. In addition to AI expertise, we bring agility that our large, corporate partners often lack, and which is so essential for innovation. With a strategic focus on AI adoption and product, AltaML works across industries as well as with the public sector using a co-development approach to create applied AI solutions as well as joint AI ventures. This rich, complex multisectoral environment provides the breadth that enables insights in one area to be applied in new areas, leading to ever increasing opportunities for innovation.

The project comprises internships in a variety of technical and business roles, which are: associate machine learning developer, business development associate, communications associate, finance associate, associate business solutions consultant, and project delivery associate. Outcomes will include algorithm creation and deployment, data visualizations, market research reports, sales collateral, competitive landscape analysis, feasibility analysis; key messages and content writing such as case studies and feature articles, financial model development, data analysis, financial reports and variance analysis, customer workflow mapping, business case reports, resource allocation plans, project update reports, and project plans.

Effect of parabolic solar trough collectors (PSTCs) on performance of solar-geothermal power plant.

In an existing geothermal power plant found in Aydin, Turkey, three parabolic solar trough collectors have been installed to develop a hybrid solar-geothermal power plant. The main reason for such a hybridization is mainly to compensate the inefficiencies in the geothermal power plant due to changes in the ambient temperature. The parabolic solar trough collectors heat the oil circulating within the tubes of the collector and transfer this heat to the brine. In this project, a thermal model of the parabolic solar trough collectors will be developed to assess the effect of design and operating
parameters of the collectors on the performance of these collectors as well as the overall system.