ESROP – KMUTT – Context Aware AI Music Therapist for Elderly with Neurodegenerative Diseases

Neurodegenerative diseases like Alzheimer’s and Parkinson’s cause cognitive decline, motor impairment, and emotional distress. While pharmacological treatments exist, music therapy has shown promise in alleviating symptoms. This project enhances music therapy using AI, making interventions more accessible and personalized. This project aim to develop an AI-powered wearable system that personalizes music therapy based on emotional […]

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Non-invasive assessment of early molecular response and detection of minimal residual disease in diffuse large B-cell lymphoma (DLBCL) using cell-free methylomes

Research at the Lymphoma Lab is driven by the observation that the outcomes of lymphoma are extremely variable with some patients seem cured or enjoying long remissions while others experience relapse. Treatments that directly target the underlying therapeutic vulnerabilities of a patient’s lymphoma remain unavailable [1]. Lymphoma Lab wants to change this. A comprehensive understanding […]

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L2M – Oculum

Oculum is developing a new technology to make eye surgeries safer and more efficient by eliminating the need for chemical dyes. Currently, surgeons use these dyes to see delicate eye tissues, but they come with risks like retinal damage and complications, and they don’t always work reliably. Our solution provides a safer and more consistent […]

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Sensor Fusion for Biometric and Environmental Data

CHAH’s mission is to revolutionize healthcare by enabling personalized, proactive home care. Using AI and sensor technology, CHAH transforms homes into intelligent health monitoring environments, tracking physiological and behavioral indicators to detect early health risks and enable timely intervention. Its flagship initiatives include AI-driven predictive healthcare models, real-time sensor fusion, and secure platforms for seamless […]

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CHAH Intelligent Bridge Development and Optimization

Comprehensive Healthcare at Home (CHAH Technology) is dedicated to transforming home-based healthcare using AI and sensor technologies. The partner organization aims to address the critical challenge of delivering high-quality, affordable care to aging populations in Canada, where rising healthcare costs and system inefficiencies are threatening sustainability. Through this project, CHAH will develop the CHAH Intelligent […]

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Risk Estimation of Deterioration for patients in the cardiac ICU

The Artificial Intelligence (AI) initiative at SickKids, supporting the future of individualized paediatric care at SickKids and beyond. We are developing a unique paediatric methodology for the integration of AI and data science into clinical care. Critically ill children in pediatric and cardiac intensive care units are at a significant risk of clinical deterioration, which […]

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L2M – Chase Biotherapeutics: Breaking barriers towards clinical translation of ChASE37-AR for stroke recovery

Stroke is a leading cause of disability, affecting 880,000 Canadians, with 109,000 new cases annually and no approved therapies for neuroregeneration. Current standard of care for ischemic stroke includes acute thrombolysis and/or thrombectomy to restore blood flow to the injured tissue, yet these treatments are time sensitive and only apply to specific stroke etiology, leaving […]

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Development of Climate and Infrastructure Forensic Analysis Systems: A BayesianPerspective

This project will upgrade the Climate and Infrastructure Forensic Analysis System (CIFAS), originally developed to characterize snow- and permafrost-related impacts to ground transportation and mine access roads in the Canadian North. My first objective is to enhance the analytical capacity of CIFAS by improving its ability to quantify uncertainties associated with empirical knowledge used to […]

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Leveraging Large Language Models for Sales & Customer Success Automation

Mash helps revenue teams at technical B2B companies streamline pre- and post-sales activities by automating knowledge-intensive tasks such as answering product questions, managing bug reports and feature requests, and prepping for meetings. Its AI platform leverages data buried in messaging platforms, wikis, CRMs, and other internal tools to deliver timely, context-aware assistance to individuals in […]

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Optimizing Lightstage Capture for High Fidelity 3D Facial Reconstruction

Ubisoft is one of the world’s largest video game studios, specializing in 3D open-world games that require precise 3D character representations. In particular, achieving high-quality facial features is crucial, as humans are highly sensitive to small details in facial expressions. Currently, creating 3D facial representations first requires a Lightstage capture pipeline. This process begins with […]

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A Risk-Based Continuous Authentication Engine Using a Probabilistic Model around Behavioral Biometrics

Traditional static authentication systems have a fundamental deficiency; it assumes the presence of the validated user through the length of the session. Continuous authentication algorithms periodically validate the identity of a user during the entire session. It relies on information that can be automatically extracted from the user such as biometrics and behavior patterns. A […]

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