About
The PAT project is a long-term, multi-phase research initiative to identify and develop Preventive Assessment Tools (PAT) and a comprehensive knowledge base that maps risk factors to related diseases and disorders, supporting personalized preventive healthcare.
By considering a Holistic Personalized Medicine Approach, the PAT project focuses on identifying, developing, and validating multidimensional tools to create a complete health profile for each individual. This profile includes factors such as ethnicity, lifestyle (diet, activity, sleep), environmental exposures, occupational, mental, and social determinants of health. The aim is to enable personalized preventive prescriptions through the more effective use of AI and the knowledge base created by this project. We are developing validated assessment tools and a knowledge base to lay the foundation for future AI-enabled healthcare platforms.
We are currently accepting students to join the project. Students with clinical backgrounds (physicians, nurses, pharmacists, dentists), epidemiologists, researchers, and data science experts are encouraged to apply. Participants will gain hands-on experience in areas such as:
- Systematic Search and Evidence Synthesis: Learn how to conduct comprehensive literature reviews and systematic searches to identify existing assessment tools and preventive health methodologies.
- Tool Validation Process: Gain expertise in validating assessment tools according to clinical guidelines, ensuring they align with Canadian healthcare standards and international data protocols.
- Data Taxonomy and Semantic Mapping: Develop skills in mapping health data entities, organizing risk factors using data taxonomy concepts, and linking them to diseases and health outcomes through structured knowledge bases.
- AI Integration in Preventive Healthcare: Explore how to integrate AI technologies to enhance predictive analysis and create personalized prevention strategies in future.
