AI-based body fluid analysis colorectal cancer diagnosis technology development diagnosis performance 97%
Sep 02, 2024
A research team led by Professor Yoo Soo-woong of the Department of Nuclear Medicine at Hwasun Chonnam National University Hospital has developed a new technology to diagnose colorectal cancer early by analyzing body fluids collected with an endoscope.
This technology is a non-invasive method that collects fluid on the surface of the tumor with an endoscope, amplifies the optical signal of the metabolite, and analyzes it with artificial intelligence (AI) to diagnose cancer.
The research team inserted a plasmonic needle that amplifies Raman signals into a 1mm hole that can be inserted with a colonoscopy camera, and then buried mucus on the tumor surface to analyze the components. Subsequently, it succeeded in increasing the colon cancer diagnosis performance to 96.67% through modeling using AI.
The research was carried out in collaboration with Dr. Ho-Sang Jeong's research team at the Bio-Health Materials Research Headquarters of the Korea Institute of Materials, and the research results were published in 『Biosensors and Bioelectronics, IF:10.7, JCR Top 3%』, a world-renowned magazine in the field of biosensors.
The title of the paper is Machine Learning-assisted label-free color cancer diagnosis (Machine Learning-assisted label-free color cancer using plasmonic needle-endoscopy system).
Professor Yoo Soo-woong said, `We are pleased to conduct research to develop new diagnostic technologies for colorectal cancer, which has a high incidence in Korea.' We will conduct research to help patients by further developing preclinical tumor models and endoscopic imaging technologies that can be used to discover new diagnostic technologies and biomarkers.'
Meanwhile, this study was conducted with the support of the Korea Institute of Materials Basic Project, the Korea Research Foundation Biomedical Technology Development Project, and the Korea Health Industry Promotion Agency's Health and Medical Technology Research and Development Project.
This technology is a non-invasive method that collects fluid on the surface of the tumor with an endoscope, amplifies the optical signal of the metabolite, and analyzes it with artificial intelligence (AI) to diagnose cancer.
The research team inserted a plasmonic needle that amplifies Raman signals into a 1mm hole that can be inserted with a colonoscopy camera, and then buried mucus on the tumor surface to analyze the components. Subsequently, it succeeded in increasing the colon cancer diagnosis performance to 96.67% through modeling using AI.
The research was carried out in collaboration with Dr. Ho-Sang Jeong's research team at the Bio-Health Materials Research Headquarters of the Korea Institute of Materials, and the research results were published in 『Biosensors and Bioelectronics, IF:10.7, JCR Top 3%』, a world-renowned magazine in the field of biosensors.
The title of the paper is Machine Learning-assisted label-free color cancer diagnosis (Machine Learning-assisted label-free color cancer using plasmonic needle-endoscopy system).
Professor Yoo Soo-woong said, `We are pleased to conduct research to develop new diagnostic technologies for colorectal cancer, which has a high incidence in Korea.' We will conduct research to help patients by further developing preclinical tumor models and endoscopic imaging technologies that can be used to discover new diagnostic technologies and biomarkers.'
Meanwhile, this study was conducted with the support of the Korea Institute of Materials Basic Project, the Korea Research Foundation Biomedical Technology Development Project, and the Korea Health Industry Promotion Agency's Health and Medical Technology Research and Development Project.
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