Robotics & Machine Learning Daily News2024,Issue(Nov.1) :3-4.

Cancer Hospital Reports Findings in Disease Progression (Predicting Disease Prog ression in Inoperable Localized NSCLC Patients Using ctDNA Machine Learning Mode l)

Robotics & Machine Learning Daily News2024,Issue(Nov.1) :3-4.

Cancer Hospital Reports Findings in Disease Progression (Predicting Disease Prog ression in Inoperable Localized NSCLC Patients Using ctDNA Machine Learning Mode l)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Disease Attributes - D isease Progression is the subject of a report. According to news reporting out o f Beijing, People’s Republic of China, by NewsRx editors, research stated, “Ther e is an urgent clinical need to accurately predict the risk for disease progress ion in posttreatment NSCLC patients, yet current ctDNA mutation profiling appro aches are limited by low sensitivity. We represent a non-invasive liquid biopsy assay utilizing cfDNA neomer profiling for predicting disease progression in 44 inoperable localized NSCLC patients.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Disease Attributes/Disease Progression/Emerging Technologies/Gene tics/Health and Medicine/Machine Learning/Risk and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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