Robotics & Machine Learning Daily News2024,Issue(Feb.14) :78-79.DOI:10.1002/jgm.3660

Lanzhou University Second Hospital Reports Findings in Colon Cancer (Constructing a personalized prognostic risk model for colorectal cancer using machine learning and multi-omics approach based on epithelial-mesenchymal transition-related genes)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :78-79.DOI:10.1002/jgm.3660

Lanzhou University Second Hospital Reports Findings in Colon Cancer (Constructing a personalized prognostic risk model for colorectal cancer using machine learning and multi-omics approach based on epithelial-mesenchymal transition-related genes)

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Abstract

New research on Oncology - Colon Cancer is the subject of a report. According to news reporting out of Lanzhou, People’s Republic of China, by NewsRx editors, research stated, “The progression and the metastatic potential of colorectal cancer (CRC) are intricately linked to the epithelial-mesenchymal transition (EMT) process. The present study harnesses the power of machine learning combined with multiomics data to develop a risk stratification model anchored on EMT-associated genes.”

Key words

Lanzhou/People’s Republic of China/Asia/Cancer/Colon Cancer/Colorectal Research/Cyborgs/Emerging Technologies/Gastroenterology/Gene Therapy/Genetics/Health and Medicine/Machine Learning/Oncology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量42
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