Novel imaging approaches to understand heart function

The most common sustained cardiac arrhythmia is atrial fibrillation (AF), affecting 2-3% of the general population. If left untreated, arrhythmias can lead to heart failure, stroke, or sudden death. A better understanding of AF mechanisms is needed to improve our understanding of disease pathogenesis and create new therapeutic tools. We have developed a zebrafish model […]

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Wearable Digital Technology for Continuous Monitoring of Vital Signs – part A

SFU will be collaborating with partners of a supercluster on the Continuous Connected Patient Care (CCPC) Platform, which is being developed to provide safe, responsive, and high-quality outpatient care at home. We will be working directly with our partner, Medtronic Canada. SFU’s will focus on the research, development, and testing of medical grade wearable sensor […]

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Optimizing data collection and analysis processes in the Canadian homelessness sector: Review of the literature and analysis of options

Non-profits in the homelessness sector, especially smaller ones, tend to collect, analyze and use limited amounts of data: occupancy rates, numbers of meals served, etc. In order to better serve their clients, and to manage their organization more effectively, a more robust approach to capturing and analyzing data on client characteristics, satisfaction and outcomes is […]

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Predicting Behavioral and Mental Traits using Graph Convolutional Networks

Mental illness is widespread, affecting half of the population during their lifetime. One solution to mitigate this is to detect the onset of mental illness early, as well as choose individualized treatment options based on biological markers. These biomarkers can predict behavioral and mental traits, like the risk to develop a mental illness. They can […]

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Improve the reliability and performance of Vision based Machine Learning models to provide more valuable insights to researchers.

Biomedical research, particularly preclinical research, is a complex and challenging field with a high failure rate of 98% in pharmaceutical research investment. Extracting relevant information from preclinical research papers involves synthesizing information from various sources, which is a demanding task that requires domain-specific knowledge. Natural language processing, specifically Large Language Models (LLMs), has demonstrated tremendous […]

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Cortical microstructural asymmetry in the human brain: laminar differentiation, organization, and heritability

Lateralization is one of the key principles of human brain organization. With a background in neuroimaging analysis of brain inter-hemispheric differences, the applicant Bin Wan will conduct his project in a Canadian research group which focuses on multimodal neuroimaging data. The intern will help with data acquisition of 7 Tesla MRI data in healthy individuals […]

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Application of Artificial Intelligence in Human Fall Detection

Falls are a significant public health concern, particularly among older adults, who are more vulnerable to injury and death resulting from falls. According to the World Health Organization (WHO), falls are the second leading cause of accidental or unintentional injury deaths worldwide. With the global population aging rapidly, there is an urgent need to develop […]

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Open-source software objects for modelling blood collection and production processes

We propose a project to port an existing blood clinic simulator to an open-source platform. We anticipate implementation of the newly redesigned model into the production environment. Once the model is established with Canadian Blood Services (CBS), we will survey the IE user group (IEUG) in CBS to determine usability, identify issues and solicit enhancements […]

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Effect of exercise training on the human skeletal muscle proteome, phosphoproteome, and proteodynamics

Generally, resistance exercise increases muscle mass and strength, whereas endurance exercise increases the capacity to use fuels and fatigue resistance. In both cases, skeletal muscle translates the physical and biochemical stresses of exercise into morphological and metabolic adaptations, with the adaptations improving one’s ability to perform the corresponding type of exercise. This concept is known […]

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