Beyond “proof of concept” – machine learning and related tools applied to transactional data extracts from clinical and business information systems – in service of Quality Assurance/Quality Improvement.

The program of eight interlocking applied research projects employs various machine learning (ML) methodologies with large volumes of Island Health cross-continuum patient-service encounter data inside the Island Health firewall. The objective is to generate ready-for-use products that will promote better outcomes via more effectively optimized interoperation of IH programs. As well, the work targets objectives […]

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Dual Eye-tracking for Measuring Surgical Team Cognition

Team collaboration is important for performing image-guided surgery, including laparoscopic surgery. Therefore, training healthcare providers in a team setting is critical for the success of laparoscopic procedures. To improve the quality of any team training program, we need to develop a reliable assessment instrument to measure team performance. The currently available team assessment tools are […]

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Predicting falls based on a 2-minute walk test

Falls are the leading cause of injuries in older adults. Identifying older adults with risk for falls prior to discharge home from the Emergency Department (ED) could help direct fall prevention interventions, yet ED-based tools to assist risk stratification are under-developed. The aim of this study was to compare the performance of our proposed machine […]

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Analyse et transformation des structures et pratiques organisationnelles participatives de trois groupes féministes du Bas-St-Laurent, à la lumière du féminisme intersectionnel.

À la lumière du féminisme intersectionnel, qui souligne la coconstruction des rapports de pouvoir (sexisme, colonialisme, racisme, classisme, capacitisme et hétéronormativité), cette recherche-action analyse les structures et pratiques organisationnelles de trois groupes féministes du Bas-St-Laurent. Elle vise à les outiller pour réviser des politiques et pratiques existantes et innover en matière de structures de gestion […]

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Evaluating rapid bacterial sequencing for clinical diagnostics

Antibiotic resistance is a major threat to the health of Canadians. The spread of antibiotic resistance organisms and lead to inappropriate antibiotic treatment and adverse health outcomes. With this project, one intern will be supported to learn and develop approaches for rapid bacterial diagnostics and surveillance, with direct relevance for knowledge translation and knowledge generation. […]

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L’étude de la régulation épigénétique et métabolique de l’hétérogénéïté dans les cancers du sein triple-négatifs

Le cancer du sein triple négatif (CSTN) est un sous-type très hétérogène de cancer du sein qui présente un mauvais pronostique pour les patientes. En plus de présenter des taux élevés de chimiorésistance, l’importante hétérogénéité intra-tumorale du CSTN complique grandement le traitement des patientes. La progression tumorale est caractérisée par la régulation réciproque des reprogrammations […]

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Classism in healthcare professionals: what does it mean for chronic pain patients’ credibility?

Chronic pain is a major public health problem affecting at least 10 percent of the worldwide population. Pain and its impacts also affect disproportionately women, people living in poverty, indigenous people, racialized people, LGBTQIA2S+ communities and people who have experienced trauma, among others, resulting in social health inequalities. Despite the attention given to racism and […]

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Knowledge, awareness, and uptake of new Canadian Physical Activity Guidelines

Being physically active is associated with many health benefits. To help guide people on how much activity they need for optimal health, the Canadian Society for Exercise Physiology developed new Canadian Physical Activity Guidelines for all age groups. Specifically, this work will look at assessment, awareness, and uptake of the new guidelines as it relates […]

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Hybrid Modeling of Chromatographic Systems

Chromatography is the workhorse in biologics manufacturing processes, where its performance significantly contributes to the quality outcomes of the batch, and therefore must be carefully controlled. Process modeling and simulation is the best way to provide control to the process. This proposal aims to develop a hybrid chromatography modeling approach, utilizing state-of-the-art machine learning method, […]

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Synthesis of Alkynamides From Carbamoyl Fluorides Through Metal-Free Fluoride Catalysis

Alkynamides are very promising inhibitors of tyrosine kinases, important enzymes that can cause cancer when being too active in cells due to different mutations. While being important moieties, until recently there was no convenient method to synthesize them using carbamoyl fluorides — most protocols use either dangerous or expensive and ecologically unfriendly reagents, which always […]

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