Ellustros has developed an App and SMART Chair to provide an automated ergonomic office solution using AI and IoT technology. The app uses real-time data to assess optimal posture and automatically adjust the SMART Chair to ensure comfort, efficiency, and reduce the risk of injury. At this stage of the product development, the business model […]

This Mitacs Business Strategy Internship project unites Intact Insurance’s extensive insurance data and industry expertise with Western University’s Banking Analytics Lab’s advanced skills in deep learning, actuarial science, and data analysis. The project’s goal is to build an unsupervised deep learning model for detecting significant changes in claim patterns, surpassing the limitations of traditional change-point […]

Sycodal Electrotechnique Inc specializes in making intelligent robotics technologies accessible to small and medium-sized businesses through innovative solutions. This project will help Sycodal improve its sales strategies and decision-making processes via a comprehensive sales data analysis and the development of interactive dashboards.

SmartSustain Invest Copilot provides sustainable investing by combining advanced AI technologies with comprehensive ESG analytics and delivering cutting-edge portfolio management to individual investors. The platform transforms complex ESG data into actionable investment strategies, offering a sophisticated yet accessible solution for those seeking both financial returns and positive impact.

This project aims to commercialize a novel cell culture substrate designed to enhance cell functionality, bridging the gap between research and application. By addressing key challenges in disease modeling and drug discovery, this innovation holds the potential to revolutionize the industry, benefiting both academia and industry through scalable, effective solutions.

This project aims to assist a partner organization in evaluating the market potential of a novel APOBEC3 inhibitor as a cancer treatment. The focus will be on conducting comprehensive market research to understand the demand for this innovative therapy, explore its commercial viability, and identify potential partners in the biopharmaceutical industry. The project will assess […]

We propose the development and commercialization of biodegradable wastepaper foam as a viable alternative to traditional synthetic materials. Our solution aims to address the environmental challenges posed by non-biodegradable packaging materials while providing effective cushioning protection for a wide range of products, spanning from lightweight to heavyweight products.

In the complex and ever-evolving realm of shipping investments and operations, informed decision-making stands as a cornerstone of success. Within Soshianest Inc., the primary focus lies in providing precise and reliable freight rate forecasts. Through the utilization of state-of-the-art AI models, the company aims to enhance shipping strategies, enable data-driven decision-making, and adeptly maneuver through […]

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Innovation in domains such as organic electronic materials is driven by experimental methods that are generally limited by the speed of human intervention in all the steps of the iterative R&D cycle. The emergence of AI tools and automated systems can now help to disrupt this paradigm by empowering the researcher to efficiently leverage their […]

Medical imaging is a cornerstone of modern healthcare, but challenges like high costs and limited accessibility hinder its potential. This project investigates the use of diffusion models—a cutting-edge AI technique—to generate synthetic medical images for targeted healthcare applications. By focusing on a single imaging task, such as cross-modal imaging or sequence generation, the project will […]

This project addresses the biotechnology and pharmaceutical industries’ need for mature, physiologically relevant cardiac models for drug discovery, cardiotoxicity testing, and personalized medicine. Existing models, such as human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs), lack the structural and functional maturity needed for reliable applications. The UBC MEMS Lab has developed a soft, micropatterned substrate and a […]