Trichomonas vaginalis and its association with cervical cancer: The price of neglect in women’s health

This project aims to investigate whether the presence of Trichomonas vaginalis, the etiological agent responsible for the most common non-viral sexually transmitted infection worldwide, trichomoniasis, is able to impact the production of small vesicles by cervical cells. In addition, this project also proposes to investigate whether these small vesicles could result in the transformation of […]

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Modeling Brain Responses to Natural Conversation via LLM-Derived Informational and Relational Metrics

The project uses large language models (LLMs) and information-theory measures to quantify how people think in real conversations. The goal is to create a pipeline that quantifies informational content (the purpose of the utterance is to provide/inquire information) and relational content (the purpose is to build a stronger relational bond with the other speaker) in […]

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Diagnostic médical assisté par l’IA via l’intégration de l’imagerie médicale et des modèles linguistiques et visuo-linguistiques

L’intelligence artificielle joue un rôle de plus en plus important dans le domaine de la santé, notamment grâce aux grands modèles de langage capables d’analyser de vastes volumes d’information médicale. Toutefois, ces systèmes demeurent souvent difficiles à interpréter, ce qui limite leur utilisation dans des contextes sensibles. Ce projet vise à développer des outils d’intelligence […]

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Towards Explainable and Reliable Large Language Models for Clinical Decision Support

This project aims to develop a reliable and easy-to-understand artificial intelligence tool that can help answer medical questions more safely and transparently. By improving how AI systems explain their answers, the project seeks to increase trust among healthcare professionals and patients while reducing the risk of incorrect or biased medical information. The collaboration between the […]

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Metal-Chelating Coiled-Coil Peptide

This project focuses on the design, synthesis and characterization of coiled coil (CC) motifs as modular scaffolds for metal-mediated assembly and function. CCs are predictable a-helical assemblies in which oligomerization behavior can be tuned through sequence design, making them attractive scaffolds for incorporating metal-binding functionalities in a controlled manner. In this project, CC motifs will […]

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Designing Responsible and Efficient AI Systems for IoT Threat Detection and Retrieval-Augmented Educational Assistance

This project explores two critical areas of AI research: cybersecurity for Internet of Things (IoT) systems and responsible AI assistants for education and research. IoT devices, widely used in healthcare, smart cities, and industry, are highly vulnerable to cyberattacks due to limited resources and large-scale connectivity. We propose AI-based intrusion detection systems that are lightweight, […]

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Generation and Characterization of Camelid Nanobodies for Applications in Biomedical Research

Proteins control nearly all biological processes in animals, including growth, metabolism, immunity, and responses to stress or disease. To understand how proteins work, scientists often need tools that can bind to them very specifically and stabilize them for study. Nanobodies are a new type of antibody fragment derived from camelids such as alpacas. Unlike traditional […]

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Understanding the role of astrocytes in neuroendocrine adaptation to stress

Stress signaling in the brain is critical for adaptation in the face of various challenges. Adaptation to stress requires the engagement of specific brain circuits that control production of stress hormones including cortisol, including the hypothalamus-pituitary-adrenal (HPA) axis. Overactivation of HPA axis however, results in pathological stress that can contribute to psychiatric disorders including anxiety […]

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Advancement in Visualization Design for Intensive Outreach and Education: Novel Denture and Anti-snore Devices

Dentures are oral appliances or prosthetic devices that replace missing teeth and restore oral function, speech, and aesthetics. The denture market is driven mainly by the older adult population, which is expected to grow by 68% in the next 20 years according to the Canadian Institute for Health Information. These individuals often suffer from sleep-related […]

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Implementation of Multi-view learning to a Dynamic Convolutional Neural Network for Object Detection

In the context of developing an academic activity as part of the intern’s postgraduate studies and building a new international research collaboration, the University of Alberta and the Tecnológico de Monterrey propose this research stay project, promoting a strategic initiative of artificial intelligence (AI) and the establishment of Industry 5.0 in fields such as agriculture […]

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