L2M – Market Entry and Human Factors Strategy for an Edge AI-Based Care Platform

This project focuses on launching and evaluating the NewGen Smart-Cup platform in clinical settings. NewGen Smart-Cup enables rapid, digital urine testing to support early detection of conditions such as preeclampsia and gestational diabetes. Building on prior validation work, this phase will study how healthcare teams adopt and integrate the technology into existing prenatal care routines. […]

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L2M – Commercialization Strategy and Indication Prioritization for Oncolinc Therapeutics

This project will help Oncolinc Therapeutics, a cancer therapeutics company, build a clear strategy for bringing a new type of cancer treatment to market. Oncolinc Therapeutics is developing therapies that target long non-coding RNAs (lncRNAs), which are molecules that help some tumours hide from the immune system and resist current immunotherapies. Oncolinc needs guidance on […]

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L2M – IUAide by ReFem Technologies

ReFem Technologies is developing IUAide, a new medical device that makes intrauterine device (IUD) insertion safer, faster, and less painful. The current procedure uses outdated tools that cause discomfort and inefficiency for both patients and clinicians. IUAide combines gentle stabilization, local anesthesia, and real-time placement feedback into one easy-to-use device. Through this project, ReFem will […]

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Noninvasive tumor genotyping for cancer detection

Non-small cell lung cancer is one of the leading causes of cancer-related deaths, mainly because relapses are often detected too late. This research project aims to validate an innovative method to monitor patients after treatment by detecting tiny traces of tumor DNA circulating in the blood. Using a highly sensitive genome sequencing approach, it will […]

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L2M-LigandQI: Accelerating drug discovery with quantum-powered insight

This project will launch LigandQI, a next-generation Contract Research Organization (CRO) that empowers researchers in the pharmaceutical and biotechnology sectors with advanced molecular-interaction analysis. LigandQI applies state-of-the-art quantum chemistry and computational modeling to reveal, with exceptional precision, how drug candidates bind to their target proteins, enabling faster, more accurate lead optimization. Through the Lab2Market Launch […]

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On-Prem / Sovereign AI Coding Assistant for Privacy-Constrained Tasks

This project will create a privacy-preserving AI coding assistant that runs directly on a user’s computer instead of relying on cloud services. Many organizations, such as governments and healthcare providers, cannot use cloud-based AI tools because of data security and confidentiality concerns. The system will automatically detect the user’s hardware (CPU, GPU, memory) and select […]

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Guidance Opportunities in Discrete Diffusion

(1) the main activities of the partner ServiceNow develops a platform for client organizations to manage and automate large-scale processes across various industries. In 2020, ServiceNow acquired Element AI to strengthen its presence in the Artificial Intelligence (AI) research landscape and the Canadian AI ecosystem. This acquisition enabled the development of AI-driven products that improve […]

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Interface Optimisée BERTA pour la Simulation des Réseaux Électriques

Les systèmes de simulation en temps réel sont essentiels pour valider la stabilité des réseaux de production et transport d’électricité et la contribution de l’équipement de production électrique à la stablité de tension, de puissance et de fréquence (alternateurs, régulateurs de vitesse, régulateurs de tension et stabilisateurs de puissance). Or, l’interface actuelle utilisée par l’entreprise […]

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GenAI-Counselor: An AI-Powered Genetic Counseling Assistant for Genetic Report Interpretation and Patient Guidance

GenAI-Counselor is an AI-powered genetic counseling assistant developed by Ebovir Biotechnologie Inc. to bridge the gap between complex genetic test results and patient understanding. By combining domain-specific knowledge bases (e.g., ACMG, ClinVar, GeneReviews), report parsing, personalized patient modeling, retrieval-augmented generation (RAG), and large language models (LLMs), the system delivers clear, clinically grounded explanations of genetic […]

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Observing Interactions Between Pacific Harbour Seals (Phoca vitulina richardii) and Recreational Fish Cleaning Practices throughout Greater Victoria

This project is designed to provide a baseline dataset for fish processing stations on Southern Vancouver Island. From this dataset, researchers aim to identify broad-scale trends in nearshore marine systems and identify future research needs. Main objectives of the project include monitoring both seal behaviour and fish waste subsidies near these recreational fish processing stations […]

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Analyzing and Detecting Runway Incursions Using High-Resolution ADS-B and Incident Databases

This study focuses on enhancing aviation safety by detecting and analyzing runway incursions—unauthorized entries of aircraft, vehicles, or personnel onto active runways—using high-resolution ADS-B data from Flightradar24 (FR24). Despite existing protocols, such incursions remain a significant threat to air traffic operations. The project aims to develop and validate algorithms capable of identifying critical events, such […]

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From Agents to Teams: Optimizing the Creation of LLM-based Multi-Agent Systems

As multi-agent systems become more complex, improving how Large Language Model (LLM)-based agents work together is increasingly important. This research focuses on creating reusable design patterns and adaptive coordination strategies to boost collaboration and system performance. Blend360 is an AI service provider that builds advanced solutions for clients in sectors like finance, healthcare, and consumer […]

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