We are building a machine learning system to help clinical experts accurately label medical notes with diagnosis codes. This will make it faster and cheaper to train machine learning models to identify important codes, including those related to infectious diseases and COVID, in large amounts of medical notes.

This project will evaluate whether an innovative approach to looking at consciousness allows for the diagnosis and management of concussion. The device, cali-ed the Halifax Consciousness Scanner (HCS), reads the brain waves of a person while listening to a special sound recording, and uses this information to determine a score for their level of consciousness. […]

As the COVID-19 pandemic complete eradication will at least take 2-3 years, putting the country under complete lockdown is an impractical solution. Hence, Computing and Data Analytics research group at Saint Mary’s University (SMU-CDA) proposes a collaboration with Agyle Intelligence to develop a complete framework using Data Analytics and Machine Learning that can help citizen, […]

Micro-algae, which are being used to derive biofuels from, are typically grown in large volumes of water in systems which either expose the algae to, or protect it from, the natural environment. There are two key problems associated with large-scale commercial biofuel production: the identification of high yield and high lipid producing algal species, and […]

When blood-vessels in the brain are damaged, substances can leak from the blood into the brain. Such leakage can affect cognition and mental health, however there are currently no clinically-available tests for detecting such leakage. In this project we are developing a method for diagnosing blood-vessel leakage using MRI. We believe that this technology may […]

Aquaculture feed has historically relied on fish-based protein sources to satisfy nutritional requirements for optimal growth. While plant-based proteins are increasing throughout the aquaculture industry, the need for fish protein is still present to ensure the “natural fish” taste that consumers want. Black Soldier Fly Larvae (BSFL) have been proposed as a solution to this […]

The aim of this 2-year project is to do research to inform the development of, and fully test and develop a mobile application designed to improve the experience of (particularly at-risk) post-secondary (PSE) students in addressing COVID-19-related issues. Our key concern is that COVID-19 has not only disrupted important and significant developmental experiences that improve […]

This project deals with the development of new mathematical models and solution methods to optimize naval surface ship refit operations. The Naval Surface Ship Work Period Problem (NSWPP) is a highly complex resource-constrained project scheduling problem (RCPSP) with many work orders that are equivalent to small projects. Planning, scheduling, and executing NSWPPs are very challenging, […]

More than one in five seniors aged 65 and over will fall at least once a year, many of them repeatedly. Fortunately, most of these falls don’t result in major injuries but often the fall victims are unable to get back up on their own and require assistance from someone. For those that live alone […]

forWater Network researchers at Dalhousie University are working with Halifax Water and Westfor Management Inc. to determine how the Pockwock forested watershed can be managed to improve water treatability. A key issue here is the movement of dissolved organic carbon (DOC). DOC movement from the land to the water has increased in recent decades, and […]

The Nova Scotia Municipality of Argyle is exploring the potential of establishing the province’s first shellfish Aquaculture Development Area (ADA) in Lobster Bay. If an ADA is approved, individual site and lease applications benefit from an expedited licensing process. Spatial marine planning is required for ADA approval and must consider oceanographic data, ecological data, and […]

This project will be studying the relationship of Green Anacondas with their surroundings by describing the ways Anacondas use their habitats and how these behaviours change throughout the year. We will be using a technology called “radio telemetry” to follow Anacondas in order to observe them and collect information. Drone and Satellite imagery will be […]