Mental health professionals are evolving as they use a multitude of therapy modalities in every session. Already, therapists each have a different way of writing notes to each other, which becomes more complicated when applying a different set of modalities. This research will enable generating LLM case notes for therapists that are unique to their […]

This research aims to advance the field of federated learning by addressing privacy, domain shifts, and personalization challenges, particularly in the context of mobile and digital healthcare. By developing robust and scalable solutions, the proposed framework has the potential to significantly enhance patient care, diagnostics, and personalized treatment while maintaining stringent privacy standards

A quick and simple, point of care test is being developed to detect traumatic brain injuries using saliva samples. The prototype test uses biotechnology to measure the presence of certain protein markers of injury, resulting in a change of colour and/or location of colour in the test material. The interpretation of the results can be […]

This project aims to research a new set of algorithms that extract audio features from audio files in sound effect libraries and use machine learning approaches to predict high-level audio descriptors–such as emotional adjectives–to enhance game audio file labelling. This research project will assist our partner organization by providing them with a set of algorithms […]

Polymath Global is a federally registered Canadian technology company based in Saskatchewan. Our primary activities leverage our innovative cloud computing platform to develop, deploy, and scale SaaS solutions across various sectors. Currently, we are focusing on developing an AI-native electronic medical record (EMR) system, named the “Medical Home,” to address critical needs in healthcare. This […]

Image enhancement consists of creating a composite image (fused image) from different sources. The objective of this project consists of acquiring images from Electro-Optical sensors and Infrared (IR) sensors in low light conditions, to enhance them, to combine (fuse) them in order to create an image of better quality. To do so, the project will […]

Amélio souhaite développer un modèle prédictif novateur pour anticiper les intentions de départ des employés. Ce projet utilisera des techniques avancées en apprentissage automatique pour aider les entreprises à mieux comprendre les dynamiques internes et renforcer leur stratégie de rétention.

Employee absenteeism presents significant challenges for organizations, affecting productivity, team morale, and operational efficiency. Accurately predicting absenteeism enables businesses to proactively address its underlying causes, optimize workforce planning, and minimize disruptions. Advances in artificial intelligence (AI), machine learning (ML), and deep learning (DL) provide robust methods for analyzing complex datasets to uncover patterns associated with […]

challenges such as long wait times and overcrowding. These delays impact patient health and strain healthcare resources. This project aims to address these challenges by enhancing SiMLQ, a cutting-edge software tool that uses data to simulate and optimize ED operations. Using real-world data from Erie Shores Healthcare Center as an example, the project will develop […]

Design an efficient way to store and organize the large amounts of data required by our real time bidding application. Data such as campaign information, campaign assets (images, links, html) campaign targeting settings, and campaign optimization data could be arranged for fast access and processing inside the RTB application. Efficient storage and processing methods are […]

Digital Pathology provides a great reliable source for cancer diagnosis; however, this relatively new technique lacks an appropriate method of regulation and standardization. As a result the information obtained from cancer imaging system might suffer from inconsistency of the results (repeatability and reproducibility issues). Working with the BC Cancer Research Center, Logipath Medical Inc. has […]

Developmental language disorders (DLDs) are among the most common early-childhood disorders, affecting between 8-12% of children worldwide. If left untreated, DLD can lead to significant professional and interpersonal difficulties later in life. While speech therapy is highly effective, the barrier-to-access is high with regards to cost, availability of speech therapists, and the delay between detection […]