Accelerating Sustainable Product Development in the Plastics Industry: A Machine Learning Approach for Polymer-Additive Interactions

Oligomaster Inc. is developing a Sustainable Product Development Tool that leverages molecular simulation and machine learning to streamline the formulation process for plastic and chemical manufacturers. As industry moves towards sustainable alternatives and faces tighter regulations on certain chemicals, including harmful plasticizers, traditional trial-and-error methods of formulation are no longer efficient or economically viable. This […]

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SiC-Based Universal Power Conversion System (UPCS)

The transition to sustainable energy has heightened the demand for advanced power conversion technologies, crucial for reducing greenhouse gas (GHG) emissions, particularly in Canada, where the transportation sector is a major contributor. Canada aims to achieve 100% zero-emission vehicle sales by 2040, but current projections suggest only 48% of the target will be met, largely […]

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Building a Business Case for New MNP Applications

20/20 OptimEyes Technologies has developed a nanoparticle technology that can improve treatments for patients. We are moving forward into clinical trials for glaucoma, but we know we can improve other disease treatments with our technology. During this internship, our intern will evaluate other potential therapies where we could use our platform technology and build a […]

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Developing Reliable Computational Models for Redox-Induced Electron Transfer

Spintronic materials have the potential to improve the density of computer memory and the speed of computer chips. The key feature of spintronic materials is that electronic changes (e.g., electron addition to a molecule) are coupled to changes in magnetic properties. We are particularly interested in transition-metal compounds that undergo redox-induced electron transfer (RIET) because […]

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Prompt Engineering for AI-Driven Polymer Materials Data Retrieval

This project aims to tackle a critical challenge in materials science: the efficient extraction of valuable data from a vast array of sources, including scientific literature, patents, and technical reports. By integrating advanced AI language models and tailored prompt engineering, we intend to create an intelligent system that streamlines the process of retrieving polymer-related information. […]

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Online monitoring and optimization of a reactive crystallization process

This project aims to experimentally investigate the optimal operating conditions for the reactive crystallization of compounds. A stirred-tank reactor will be set-up and the effects of mixing conditions on the resulting crystal particle size distribution will be investigated. Techniques for the online monitoring the reaction process will be explored, which will be used for model […]

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A comparison of training pathways for orthopaedic surgeons in Canada and Ukraine to align Ukrainian medical education with Western standards in the post-Soviet era.

Following the 2022 invasion of Ukraine, surgeons there have worked tirelessly to address the massive burden of injuries from the high volume of orthopedic and spine injuries sustained. The complexity of these wounds and sheer volume of patients has overwhelmed health system resources, which by Western standards were already deficient in the post-Soviet era. The […]

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Developing Smart Technologies for Aging in Place at Home

Transitioning patients from hospital to at-home care is vital for health care operations. However, there is a general concern that these at-risk populations would not be receiving the same level of care at home as they would in a dedicated medical facility. Elderly populations experience a significantly higher risk of readmission after discharge from acute […]

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MD Progress: Co-development and Go-To-Market Strategy for AI-based Continuing Medical Education Product

MD Progress aims to simplify the process of maintenance of certification for physicians, addressing a significant pain point in the healthcare industry. Physicians are required to demonstrate ongoing learning to remain accredited, a process that is often cumbersome and time-consuming. Our platform automates the logging of educational activities, making it easier for physicians to manage […]

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Process design for interpreting deep learning model decisions using large language models

EBSCO and McMaster University’s Health Information Research Unit (HiRU) collaborate to enhance the delivery of high-quality, clinically relevant content to healthcare professionals. Through DynaMed, EBSCO’s evidence-based clinical resource, and HiRU’s literature surveillance program, McMaster PLUS, they provide a continuous stream of rigorously appraised articles from PubMed to clinicians globally and to DynaMed expert authors. Machine […]

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Economic Assessment Of A Predictive Technology For The Early Detection Of Oral Cancer

Health economic evaluation provides information about the value for money of new healthcare technologies, and is increasingly used to guide the allocation of scarce resources based on maximizing health gain. The molecular diagnostics company, PDI, has developed a technology to improve the identification of patients at high risk for oral cancers for early intervention, and […]

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Assessing the Alignment Between Proposals for the International Governance of Artificial Intelligence and the Common-Pool Resource Governance Framework

This project will evaluate the extent to which prominent international AI governance frameworks align with the common-pool resources (CPR) governance framework; its execution will consist in semi-structured interviews with experts and extensive literature review. The project aims to clarify how well-suited existing international AI governance proposals are to addressing the collective action problems marring international […]

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