Grants and Contributions:
Title:
Enhancing Dental Patient Data Processing with Mixture-of-Experts and Agentic Large Language Models
Agreement Number:
1030001
Agreement Value:
$160,000.00
Agreement Date:
May 1, 2025 - Jan 31, 2026
Description:
Large Language Models (LLMs) have shown promise in healthcare. Adapting LLMs requires strategies such as prompt engineering, fine-tuning, retrieval-augmented generation (RAG), or Mixture-of-Experts (MoE) and agentic approaches. The project will explore and refine agentic LLM frameworks to improve accuracy, efficiency, and interpretability in dental patient data management.
Organization:
National Research Council Canada
Expected Results:
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Location:
Calgary, Alberta, CA T2T 2N9
Reference Number:
172-2025-2026-Q1-1030001
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
794868604
Recipient Type:
For-profit organization
Recipient's Legal Name:
OraQ AI Inc.
Federal Riding Name:
Calgary Centre
Federal Riding Number:
48004
Program:
Industrial Research Assistance Program – Contributions to Firms
Program Purpose:
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Coverage:
IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation.
NAICS Code:
511211