We aim to improve drug delivery by addressing a lack of accurate models predicting how drugs reach the body’s lymphatic system. Our innovative in-vitro models focus on understanding how drugs travel through the intestinal lymphatics. Using chylomicrons, lipid-based vesicles, our models simulate the journey of drugs from the intestines to the bloodstream. This success of […]

Aluminum alloys are widely used in many industrial applications, including automobile industries, thanks to their outstanding thermal conductivity, lightweight, and low cost. However, the varied range of metal impurities contained in aluminum alloys from different suppliers makes it difficult to control the quality during manufacturing processes. This problem is exacerbated by the lack of a […]

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with […]

This proposal aims to examine the potential of laser powder bed fusion additive manufacturing (AM) in producing rare earth magnetic materials and open the door for manufacturing such components via recycled materials. The AM sector is the fastest-growing area within advanced manufacturing and presents a unique opportunity to boost economic profiles at both provincial and […]

Raymor Industries, a Canadian high-tech company, is at the forefront of producing advanced materials that are vital for the next-generation technologies of the Clean Tech sector. The main materials they produce are single-walled carbon nanotubes (SWCNTs) and graphene, which can be used in sustainable electronics, energy storage, and medicine. However, to fully realize their potential, […]

With this project, we aim to understand better what we can do to improve our product and customer experience to drive higher customer loyalty. Phase 1 of this project will be to survey existing and churned customers to understand what they like, what they dislike, and what they would improve about our product. We will […]

Durant ce projet de recherche, nous proposons différentes expériences (in vitro et in vivo) qui aideront à mettre en évidence le potentiel d’une molécule de type aminostéroïde pour traiter le cancer de façon sélective. Une preuve de concept in vivo sur une molécule candidate sélectionnée, montrant une sélectivité d’action suite à des essais in vitro, […]

The sources of ions in a particle accelerator are called an ion source. These are composed of a chamber with a plasma (collection of ions and electrons) generated inside. The ions within this chamber are pulled out as a beam into particle accelerator, where they are eventually used for semiconductor manufacturing, production of radioisotopes for […]

Recommender systems are artificial intelligences that, as their name would suggest, make recommendations based on provided inputs. For example, recommending jobs a person can apply to based on their resumes. Existing research on recommender systems in the Job and Education domains have focused on a single domain. Our research focuses on bridging the gap between […]

L’alimentation durable est une composante essentielle de l’économie visant à un développement apte à répondre aux besoins du présent, sans compromettre la capacité des générations futures à répondre aux leurs. Pour ce faire, l’alimentation durable préconise la consommation de produits locaux et, en ce qui concerne les produits maraîchers, cultivés dans le respect de l’environnement. […]

C-Therm is teaming up with the University of New Brunswick to develop a highly digitized implementation of the 3-omega method for thermal conductivity measurements of thin films, such as those employed to manage heat in electric vehicle (EV) batteries. In contrast with traditional transient hot-wire techniques, the 3-omega method operates in the frequency domain, allowing […]

The research project aims to revolutionize the manufacturing of temperature sensors, specifically Resistance Temperature Detectors (RTDs), through cutting-edge automation and advanced welding techniques. Think of RTDs as the devices ensuring your oven maintains the right cooking temperature. Our approach involves using smart sensors and robotics, guided by artificial intelligence, to create a highly efficient and […]