Grants and Contributions

This project will develop a cloud-based proof-of-concept for a Clinical Decision Intelligence system powered by Large Language Models (LLMs), initially focused on cardiovascular applications with potential expansion to other medical specialties. The system will extract clinical information from various document formats, map entities to standardized medical terminologies, and leverage a knowledge graph for contextualized decision support. The prototype will demonstrate interoperability with health data standards while achieving specified performance benchmarks for accuracy, latency, and clinical relevance in cardiology workflows. Success will establish technical feasibility for future commercialization of clinical decision intelligence tools

Refurbishment of the reception floors, main stairs, corridor of the clinical offices, and various accommodation areas.

The objective of the EAF is to support community based projects across Canada that improve accessibility, remove barriers, and enable Canadians with disabilities to participate in and contribute to their community.

With support from NRC IRAP, the project will localize the platform to meet Canadian standards providing utility for clinical integration, analytics, and registry development.

This will include onboarding new clinics, providing frontline support, maintaining knowledge resources, capturing customer feedback and monitoring usage & generating insights

The specific objectives of this funding opportunity are to:
• Advance research to support more accurate data interpretation, diagnosis, and innovative solutions across healthcare through global cooperation in data sharing and clinical implementation of genomics.
• Advance research to create improved frameworks and standards to enable the responsible, voluntary, and secure sharing of genomic and health-related data.
• Promote and facilitate the integration of FAIR principles (WSC: #moreinformation) in data science research endeavours.
• Advance implementation research to reduce both duplication of efforts and promote the collection of compatible research and clinical genomic data and health information to enable global sharing.
• Identify areas of collaboration and resource/expertise sharing.
• Enable national and global data sharing projects using large-scale cohorts to improve research into health and disease.
• Strengthen research excellence and ensure maximum research impact through consideration of diverse biological and/or socio-cultural identity factors in research design, including diverse research methods such as those based in Indigenous ways of knowing.

This novel test that can detect clinically significant prostate cancer via an accurate and minimally invasive test that can reduce healthcare costs and decrease unneeded biopsies and treatments for prostate cancer.

This project seeks to develop a compression algorithm to efficiently manage Canada's growing clinical text data, enhancing large language models' performance and reducing costs in healthcare.

This project builds a privacy-preserving AI system that reads prescription images and runs real-time clinical safety checks using a multimodal language model.

This project will complete preclinical laser safety validation, system performance verification, and assembly finalization, along with certification of two clinic-ready prototypes. It will also support development of clinical protocols and regulatory documentation in preparation for a First-in-Human (FIH) study, to follow beyond this project’s scope.