Towards AI Assisted Training Tool: Automated Identification of Calcifications in Optical Coherence Tomography Breast Tissue Images.

Breast cancer is the most common cancer (excluding non-melanoma skin cancer) in 109 countries including Canada. Approximately 70% of the breast cancer surgeries are breast-conserving lumpectomy procedures. Histopathology analysis typically require 2-4 days, resulting in the need for a second surgery if a margin is positive. Perimeter Medical is developing advanced Optical Coherence Tomography (OCT) […]

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CIUSSS-MTL : Apprentissage supervisé en radiologie du thorax

L’Intelligence Artificielle est utilisée dans le domaine médical afin d’offrir d’une part une aide à la décision à un personnel médical généralement surchargé et d’autre part une meilleure personnalisation des soins à partir des données relatives à une population. Il est nécessaire de vérifier a posteriori, la bonne généralisation du modèle avec des ensembles de […]

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Kanonhkwa’tsheranákere, Where the Medicines Are: Creating an Indigenous biocultural atlas and ethnobotanical field guide grounded in decolonial methodologies

This landmark project was built by Dr. Jessica Dolan with leadership at the Indigenous organization Plenty Canada, and the Conservation Through Reconciliation Partnership team at University of Guelph. Working closely in collaboration with Haudenosaunee and Anishinaabeg educators and culture-bearers, the team is combining plant biology surveys in the Greenbelt region of Southern Ontario, with historical […]

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Optimizing Wireless Data Communication for Implantable Medical Devices

The research project aims to develop a portable, wireless interface for implantable medical devices that monitor brain activity in patients with conditions such as epilepsy and motor disorders. This new software will allow for continuous, unrestricted measurement of brain activity, enabling doctors to collect high-quality data in patients’ natural environments. The interface will wirelessly transmit […]

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Evaluation of viral sensitizer technology for improving influenza vaccine in an egg-basedmanufacturing process Year Two

Vaccination remains the most effective preventative measure for influenza infection. Seasonal influenza epidemics and the emergence of pandemic strains have increased the global demand for influenza vaccines, putting significant pressure on vaccine manufacturers. However, current vaccine manufacturing strategies rely primarily upon production in eggs, an age-old method that needs to be significantly improved. Recently, research […]

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Towards Fully Automated Tumor and Organ-at-Risk Detection and Segmentation from PSMA PET and SPECT Scans of Prostate Cancer Patients

Prostate cancer is the third deadliest cancer in men and early detection is crucial. PSMA is a protein that is highly present in prostate cells, making it a promising target for imaging and treatment. Total metabolic tumor volume (TMTV) is a measure of tumors’ characteristics, but it is currently not measured in clinical settings due […]

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Emerging Event Classification System

The goal is to develop a system that can rapidly detect and report emerging disease outbreaks worldwide by analyzing clusters of news articles using Large Language Models. The objective is to create an efficient and effective way of identifying “disease events” that can alert public health officials to take prompt action.

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Quantifying and Combatting the Sexually Dimorphic Risks and Outcomes of Tobacco Dependency in Downtown Ottawa: A Mixed Methods Community-Based Participatory Action Research Project (SDRTT-Ottawa)

Smoking and all other forms of tobacco exposure are known to cause extremely detrimental health effects. It is the leading cause of preventable morbidity and mortality worldwide, and quitting smoking can increase life expectancy by as much 10 years. Tobacco is associated with poor reproductive health outcomes, cardiovascular disease, lung cancer, diabetes, blindness, and much […]

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Building integrative machine learning framework for precision oncology

Traditional cancer treatments have followed a “one size fits all” approach, which limits efficacy and often results in significant side effects. This research project aims to develop an approach to predict the impact of cancer missense mutations on the drug-protein interactions of cancer treatments. The approach will use the patient’s own genomic profile and will […]

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The effects of various dairy products on the gut microbiota

Probiotic bacteria may be the reason why dairy products are good for you. Some dairy foods may change how the gut microbiota is made up, which can help with weight control and metabolic health. But it’s not clear how dairy products could fix the bad effects of a high-fat, low-carbohydrate diet on lipid and glucose […]

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Open Sky – Community Health Coordination

Open Sky Co-operative is a charitable non-profit led by a mission to foster inclusive communities where people can thrive, and contribute, all while experiencing a sense of hope, value and belonging. They deliver skills programs, vocational assistance and community connections for adults who require support to improve their quality of life with a focus on […]

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