AI Decision Support Module: An enhanced AI Decision Support Module aimed at streamlining the surgical review process through the identification of suspicious excision margins within medical imaging. Building upon an existing AI framework, which utilizes labeled data for the identification of potentially problematic regions, this project seeks to improve the model’s accuracy and reliability. The […]

La diffusion à grande échelle des IA génératives (GenIA) a levé les barrières à l’entrée de l’art. Alors que certains artistes s’opposent à l’usage des GenAI en art d’autres les considèrent plutôt comme des outils permettant d’optimiser voire d’augmenter leurs capacités créatives. Ces tensions sont donc constitutives de ce qu’est le processus de création : […]

Randomized clinical trials (RCTs) are considered the gold standard due to their excellent internal validity results and are a vital tool for evidence-informed global health policymaking. However, the external validity, which results from the uniqueness of low- and middle-income countries (LMICs) in healthcare, culture, and demography, significantly hampers the value of RCTs in these regions. […]

An abundance of choice presents users of many online and mobile platforms. Sorting through this to find desirable content is a challenge for users. To assist with this challenge and increase user interaction it is common to implement a recommendation system that can predict what kind of content a user will or will not be […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

There is an ongoing industry challenge to continuously improve gas turbine engine efficiency, decrease fuel consumption, and reduce emissions. Addressing these concerns involves developing advanced architectures, airfoil features, and innovative materials to improve performance, with a key focus on abradable coatings. These coatings play a crucial role in improving turbomachinery performance by acting as a […]

Le projet vise à réduire le temps consacré à administrer l’information produite lors de réunions en utilisant l’intelligence artificielle pour générer des artéfacts de réunions pertinents pour des utilisateurs. Des algorithmes intelligents permettront la production automatique de transcriptions et de résumés des réunions en plus de supporter des recherches thématiques dans l’enregistrement audio de réunion […]

Measurement of trace-levels of dissolved oxygen (DO) is critical to manufacturing processes such as in semiconductor production. Electrochemical sensors are a mature technology for measuring DO, with the classic sensor pairing a silver (Ag) with a lead (Pb) anode. Emerging international regulations that ban the use of Pb due to environmental concerns threaten the continued […]

Arrowhead is partnering with the SAIT Centre for CERCUTS research group to develop a novel process that takes produced/waste water (PW) for the production of clean, fresh water and hydrogen using new generation Electrodialysis (ED) technology. This proposed research project aims to design, build and test a process skid incorporating a pretreatment system to remove […]

Mutations in the enzyme glucocerebrosidase (GBA1) are the most common genetic risk factor for development of Parkinson’s disease (PD). PD is characterized by the buildup of abnormal protein deposits in the brain, followed by progressive loss of neurons and behavioural symptoms. Numerous studies have noted a correlation between reduced GBA1 activity and increased levels of […]

The research project involves studying how extracts from sea cucumbers can be used in skin care products. Sea cucumbers are marine animals known for containing natural substances that might be beneficial for skin health, like slowing down skin aging or lightening skin tone. The project has two main goals: first, to make sure these sea […]

Predictive Fire Incident Risk Scoring System aims to develop a comprehensive risk assessment tool tailored to urban neighborhoods. Utilizing a combination of Census data, historical fire incident records, building structures, and expert knowledge, the project seeks to create a predictive risk scoring system capable of quantifying the overall fire incident risk level for each neighborhood. […]