L2M Launch / Qc Fall 2025 / Espoir Biosciences

Ce projet vise à transformer une découverte scientifique prometteuse en une entreprise biotechnologique dédiée au développement d’un traitement innovant contre la sclérose latérale amyotrophique (SLA), une maladie neurodégénérative incurable. Issu du laboratoire du Dr Alex Parker au CRCHUM, le traitement proposé repose sur un mécanisme inédit de régénération des neurones endommagés. Les traitements actuellement disponibles […]

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L2M Validation/ Qc Automne 2025 / NeuroMouv-Affectome

Le projet vise à explorer comment la danse peut aider les personnes âgées à préserver leurs capacités cognitive et leur équilibre. La stagiaire réalisera une première étude pilote pour tester les effets immédiats d’une séance de danse sur la cognition et les capacités fonctionelles. Ce protocole représente une phase de démarrage, qui servira à poser […]

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L2M – Smart Textiles And Autism Spectrum Disorder

This project will validate an inclusive, wearable feedback system designed to support emotional regulation by detecting stress, mapping emotions, improving emotional communication, and preventing burnout and meltdowns. It is especially relevant for individuals with autism, ADHD, and sensory sensitivities, offering discreet, real-time feedback that enhances emotional awareness and expression. Grounded in ethical and inclusive design, […]

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L2M – Health Validate – A Rapid and Portable DNAzyme-Based Biosensor for Early Colorectal Cancer Detection

Colorectal cancer (CRC) is the second leading cause of cancer-related deaths in Canada, with over 24,000 new cases and 9,300 deaths reported in 2023. Early detection significantly improves survival rates, yet current screening methods, such as stool-based tests and colonoscopies, have major limitations. Fecal tests often produce false positives, leading to unnecessary and invasive colonoscopies, […]

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L2M Validation / QC Automne 2025 / Next-Generation Paper Diagnostics: Point-of-Care Smart Detection of Infection

This project focuses on creating a low-cost, paper-based sensor that can quickly detect and archive Pseudomonas aeruginosa, a harmful bacterium found in both medical and environmental settings. This includes infections in hospitals and contamination in water systems—two areas where fast, accurate detection is essential for protecting public health. The sensor leverages smart electrochemical technology to […]

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L2M-Oculum-Ontario

Oculum is developing a new imaging system to improve how eye surgeons see delicate, transparent tissues during surgery—without the need for chemical dyes, which are often risky and not approved for many procedures. This project will help Oculum move from early research to real-world use by building the business and operational tools needed to bring […]

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L2M – NeurolAssist

We are developing a specialized AI-driven Clinical Decision Support System (CDSS) for neurology that integrates a large language model with domain-specific tools (such as neuroimaging analysis, EEG interpretation, and up-to-date medical knowledge retrieval). The system serves as an intelligent assistant for neurologists, helping analyze patient data (e.g. MRI scans, EEGs, clinical notes, etc.) and providing […]

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L2M – AllerEase: Personalized Allergy-Safe Grocery Tool

AllerEase is a personalized grocery recommendation tool that helps allergy-sensitive users shop safer and easier. It generates user-specific shopping lists based on allergy profiles and live product data. This project aims to refine matching logic and validate usability through real-world testing.

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Protein-based nanoparticles with novel azole derivatives as antifungals

Increasingly, fungi are becoming resistant to the drugs, antifungals, that we use to treat fungal infections, necessitating research into alternative antifungal strategies. One way to increase the amount and delivery of antifungals to invading fungi within the body is using protein-based nanoparticles. The antifungals associate with the nanoparticles that are delivered and taken in by […]

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L2M Launch / Qc Fall 2025 / Flexible Intra-Oral Device for Continuous Salivary Biomarkers Monitoring to Diagnose Sleep Disorders

Sleep disorders like insomnia and circadian rhythm disruptions affect millions, leading to health problems such as fatigue, difficulty to concentrate, depression, various ailments including heart disease and cancer. Diagnosing these issues is challenging because current methods, such as overnight lab tests, are expensive, uncomfortable, and often unable to accurately perform real-time measurements. Wearable devices help, […]

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