Development of an in vivo liver cancer model for immunotherapy validation

Many liver cancer cases are diagnosed at advanced and inoperable stages, at this point, the disease is highly lethal and most patients do not survive more than a year. Currently, the front-line treatment for inoperable liver cancer is antibody-based immunotherapy, but only 30% of patients respond to this therapy. Our lab has developed a lipid […]

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Epictrode – Customizable Printed Medical Tattoo Electrodes for Bio-signal Acquisition

The proposed research project is focused on customizable medical tattoo electrodes used on patients in different clinical settings. These electrodes are placed in specific places on the body and are connected to medical signal acquisition systems to collect different medical signals. The signals can include ECG (heart) signals and EMG (muscle) signals, and these signals […]

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Pathology and disease diagnosis using artificial intelligence and machine learning: Supervised and unsupervised deep-learning based methods on data from medical imaging procedures and patient chart analysis

Machine learning applications in healthcare have shown excellent inroads in medical imaging sciences in recent years. Our research aims to improve upon and open up doors into several different pathology diagnosis applications using artificial intelligence. Contemporary research into some of these applications has shown better diagnostic capacity than expert-level clinicians. Our research into artificial intelligence […]

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Intensification of cell culture process for pandemic influenza vaccine production

More than half a million people die every year from complications of seasonal influenza, and vaccination stands as the most effective method to prevent and limit outbreaks of the disease. Cell culture processes offer a more flexible and responsive alternative for the current egg-based vaccine production systems. Intensification of cell-based vaccine manufacturing focus on the […]

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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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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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L2M MITACS – Improving the Storage Stability of Research Grade Proteins using Super- Hydrophilic Sponges

The proposed research project seeks to explore the application of foam-like inserts to improve the shelf life of commonly used proteins. Many commercial proteins are used in a variety of applications such as food production, pharmaceuticals, and scientific research. These proteins must be stored at sub-zero temperatures as they are prone to degradation at higher […]

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Behavioural responses of Varroa destructor mites to volatiles within Western honey bee (Apis mellifera) colonies

Western honey bees are economically important insects that provide essential pollination services to agriculture. It is generally acknowledged that Varroa destructor mites, since making their way from Asia to the rest of the world, have become the most serious threat to the stability of the apiculture industry. To control V. destructor, apiculturists apply miticides, but […]

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Détection de marqueurs d’inflammation avec SPR

L’étudiant effectuera des recherches en laboratoire pour la détection de marqueurs d’inflammation. Il utilisera la résonance plasmonique de surface pour développer des capteurs pour les protéines associées à l’inflammation.

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