Développement d’un inhibiteur de microtubules résistant aux pompes glycoprotéines P, ciblant la poche des maytansinoïdes

Le projet consiste en le développement de nouveaux médicaments pouvant traiter le cancer. La méthodologie utilisée sera par l’inhibition de microtubules, une structure essentielle aux cellules cancéreuses, ce qui mènera alors à la mort de ces dernières. Ces composés devront être résistant au mécanisme de défenses des cellules cancéreuses, soit les pompes PgP. Ces pompes […]

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NeuroCSF: development of a novel fMRI method to measure contrast sensitivity function in the amblyopic visual cortex

This research project centers on exploring the Contrast Sensitivity Function (CSF), a fundamental concept in visual perception that determines the perception of spatial frequencies at varying contrast levels. Existing CSF measurement methods relying on behavior are constrained by time and patient-related factors, necessitating an alternative approach. To address this challenge, we introduce the “neuroCSF,” which […]

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Capturing patterns of cortical hierarchy and dual stream architecture based on precise 7T MRI

This project aims to explore the mysteries of the human brain’s microstructure and functions by using advanced imaging technology and computational models. The researchers will collaborate between different institutions, bringing together expertise in computational neuroscience and neuroimaging from McGill university with the renowned knowledge in cognitive and brain sciences at the Max Planck Institute. The […]

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Data-Driven Mine Production Control Based on Measurement-While-Drilling

Drilling and blasting are critical within the mining industry and affect subsequent operations including milling, and can therefore limit the competitivity of a mine. Ideally, upon blasting, the valuable rock (a.k.a. the ore) should land in piles that are distinct from the piles of waste rock. However, some waste rock is inevitably mixed with the […]

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Using Machine Learning to Predict Clinical Outcomes in Users of the Digital Health App, Manage My Pain

ManagingLife developed Manage My Pain, an app that lets users track and analyze their pain for better self-management of symptoms. ManagingLife aims to predict clinical outcomes (e.g. anxiety, depression, pain interference) and identify contributing factors from its 85,000 users. The goal is to create a validated, explainable machine learning model that can forecast clinically relevant […]

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Developing auto-annotation of actions in movies assisted by a haptic track

D-BOX is designing and manufacturing home theater and movie theater motorized seats. These seats are used to create an immersive environment for users by generating movements and vibrations that are synchronized with the action in the movies. Right now, making these seats vibrate in the right way takes a lot of manual work. This project […]

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What Makes TikTok Tic? A Comparative Study of Social Interaction Models Across Platforms

This project will investigate the impact of TikTok’s emergence as a platform characterized by de-contextualized, algorithm-driven content. Understanding the distinctions between TikTok’s design principles and those of other platforms is essential for comprehending their influence on user interactions, from constructive engagement to polarization. The research will employ agent-based models of opinion dynamics, calibrated using data […]

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Investigation on the Large Language Model adaptation pipeline for domain specific knowledge extraction – application in digitized business scenario

Proco, a tech company that helps franchises with AI, wants to make it easier for franchise owners to find important information in franchisors’ documentation. They use a complex information retrieval system and need a simpler and more robust solution. To do this, they plan to improve an existing Large Language Model (LLM) by teaching it […]

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L2M-A Novel Titanium-Enriched Bioactive Glass to Enhance Enamel Mineralization, Whiteness, and Hardness.

This project is aimed at supporting the translation of research innovation from the laboratory into the market. Our proposed innovation involves the use of a newly improved biomaterial in toothpastes to help transform oral health and hygiene. The proposed toothpaste will be effective in addressing tooth caries and discoloration, and simultaneously increase enamel hardness to […]

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Distributed and Partitioned Join Index

The overall goal of this internship is to improve the query capacity of the Informatica Data Vault data management system. In particular, better support for join operations, that combine the information of various tables of data warehousing appliactions, will be provided. For that, a specialized join index will be designed, developed and evaluated on standard […]

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Health and Climate Benefits of Energy Intervention Programs in Rural China: Ensuring Data Quality and Evaluating Technology Adoption

Household air pollution from combustion of solid fuels (e.g .. biomass and coal) for cooking and heating is the fourth leading contributor to the global burden of disease (Lim et al” 2012), and significantly contributes to regional climate warming. Evidence has pointed to the joint health and environmental benefits of energy intervention programs; however. little […]

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