Breathomics
A novel, non-invasive biomarker emerging in this field of early lung cancer detection is based on volatile organic compounds (VOCs) in exhaled breath referred to as breathomics. VOC’s are a diverse group of carbon-based chemicals that are volatile at ambient temperature. As one of the goals for the IDEAL research program, we are evaluating the VOCs in exhaled breath to identify reliable breath signatures that are informative for lung cancer early detection using a comprehensive approach.
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Proteomics
Circulating protein levels in our body are informative for our health status, and proteomics is the research field that evaluate thousands of circulating proteins systematically. Some specific proteins are used to monitor chronic inflammation and cancer progression. Our study team has studied over 1000 proteins systematically to identify potentially informative proteins for lung cancer. One of the goals of the IDEAL research program is to validate these findings in a large prospective cohort, which can help to identify people with incidental pulmonary nodules at high risk of lung cancer.
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AI Imaging
One of the challenges of managing the incidental pulmonary nodules is the unknown cancer potential in a large portion of findings. We are leveraging the power of artificial intelligence (AI) and use deep learning for image recognition. The goal is to build and validate AI models that help to identify pulmonary nodules with cancer potential, with the ultimate goal to improve patient management.
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Health Economics
As part of our plan for knowledge translation and implementation, our team is evaluating the cost-effectiveness of the novel approaches based on resource utilization in the Canadian health care system, and impact on quality of life.
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Our Concept
AI Imaging
Breathomics
Proteomics
