Assessing the Burden and Outcomes of Acute Respiratory Infection among Children with Medical Complexity at The Hospital for Sick Children

Given advancements in medical and surgical technology, the number of children with medical complexity (CMC) is rising. These children, who experience multiple chronic medical conditions and require ongoing specialized therapies, are at higher risk of adverse outcomes from respiratory infections. However, most research on respiratory infections among CMC has been limited by small sample sizes. […]

Read More
AI-assisted Recommendation System for False Positive Reduction at Security Operations Centers

Security Operations Centers (SOCs) are responsible for detection and review of malicious interactions. The SOC issues tickets for interactions that are considered suspicious or threatening. These tickets are then inspected by analysts for approval. For sake of safety, this ticketing system often issues too many “false positives”, i.e., it alerts for interactions that are not […]

Read More
A hybrid data-driven quantum approach to expedite molecular wavefunction calculations

Recent studies in quantum computing have demonstrated that the localized unitary Jastrow (LUCJ) ansatz, a promising electronic structure method capable of running on near-term quantum hardware, can surpass exact solutions on classical hardware by using quantum-centric supercomputing. However, scalable and efficient methods for initializing the LUCJ ansatz remain underexplored in current research. We propose a […]

Read More
Deformable Image Registration for Multimodal Radiotherapy Treatments in Gynaecological Cancers: External Beam and Brachytherapy

The Radiation Medicine Program at the Princess Margaret Cancer Centre delivers curative radiation therapy (RT) to cancer patients, including those with gynecological cancers, using a combination of external beam radiation therapy (EBRT) and brachytherapy (BT). A key clinical challenge is the accurate accumulation of radiation dose delivered across these modalities. Current methods rely on deformable […]

Read More
Using few demonstration videos to improve RL agent’s one-shot performance

(1) Ocado Technology, a division of Ocado Group, specializes in AI-driven robotics and automated fulfillment solutions for online grocery retailers. The company develops machine learning models, robotic control systems, and computer vision technologies to improve warehouse automation. As a partner in this project, Ocado will provide mentorship, computational resources, proprietary datasets, and robotic simulation environments, […]

Read More
Automation of Doppler Ultrasound using Artificial Intelligence

(1) Activities of partner: Moonrise Medical is developing an AI-enabled ultrasound-based device to evaluate flow hemodynamics in the peripheral vascular system. They are targeting peripheral artery disease [1] and diabetic foot ulcers [2] to promote improved wound healing and prevent amputations. (2) Challenges the partner aims to solve: The main challenge being addressed is how […]

Read More
Leveraging Advanced NLP Models and LLMs for Document Set Understanding with Multi-documents semantic relations

Docugami is a document engineering company registered in British Columbia that transforms how businesses create and execute critical business documents. Leveraging breakthrough Natural Language Processing (NLP) and Large Language Models (LLMs) Docugami enhances productivity, compliance, and insight across industries such as finance, law, and business operations. This project addresses a key challenge or objective for […]

Read More
Implementing Mobility-as-a-Service in Canada by Learning from an Austrian Example

Mobility-as-a-Service (MaaS) is an emerging service that enables users to plan, reserve, and pay for different on-demand and shared mobility services through an integrated platform. MaaS is relatively more advanced and widespread in European countries than in North America. In parts of Europe, shared mobility services can also be found in mobility hubs (dedicated on-street […]

Read More
Large language models and other machine learning methods to advance AMD’s hardware and software capabilities

AMD is a leading innovator in high-performance computing, graphics, and visualization technologies, focusing on gaming, immersive platforms, and data center solutions. The company develops cutting-edge hardware and software solutions to enhance computing performance across various applications, including artificial intelligence (AI), machine learning (ML), and edge computing. AMD is seeking to apply advances in AI and […]

Read More
Research Data Monetization Strategy

The Bloorview Research Institute (BRI) is exploring innovative ways to leverage its vast research data holdings to generate value and advance its missions. While this data holds significant potential value for external stakeholders across healthcare, academia, and industry, the organization currently lacks a strategy for ethical and sustainable monetization. The innovative challenge at hand is […]

Read More
Rhythm & Blues Cambridge Black Needs Assessment

Rhythm & Blues Cambridge is leading a Black Needs Assessment Study to identify service gaps, barriers, and opportunities for Black families in Cambridge and across Waterloo Region. As the only Black-led nonprofit service provider in Cambridge, Rhythm & Blues Cambridge is committed to expanding culturally affirming programs, strengthening community partnerships, and advocating for equitable access […]

Read More