Robotics & Machine Learning Daily News2024,Issue(Feb.19) :42-43.

Fudan University Reports Findings in Liver Cancer (Serological Exosome Metabolic Biopsy of Hepatocellular Carcinoma via Designed Core-Shell Nanoparticles)

Robotics & Machine Learning Daily News2024,Issue(Feb.19) :42-43.

Fudan University Reports Findings in Liver Cancer (Serological Exosome Metabolic Biopsy of Hepatocellular Carcinoma via Designed Core-Shell Nanoparticles)

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Abstract

New research on Oncology - Liver Cancer is the subject of a report. According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Exosome metabolite-based liquid biopsy is a promising strategy for large-scale application in practical clinics toward precise medicine. Given the current challenges in successive isolation and analysis of exosomes and their metabolites in this field, we established a low-cost, high-throughput, and rapid platform for serological exosome metabolic biopsy of hepatocellular carcinoma (HCC) via designed core-shell nanoparticles.” Our news journalists obtained a quote from the research from Fudan University, “It starts with the efficient extraction of high-quality serum exosomes and exosome metabolic features, based on which significantly obvious sample clusters are observed by unsupervised cluster analysis. The following integration of feature selection and supervised machine learning enables the identification of six key metabolites and achieves high-performance prediction between HCC, liver cirrhosis, and healthy controls. Specifically, both sensitivity and accuracy achieve 100% among any pairwise intergroup discrimination in a blind test. The quality and reliability of six key metabolites are further evaluated and validated by using different machine learning algorithms and pathway exploration.”

Key words

Shanghai/People’s Republic of China/Asia/Cancer/Carcinomas/Cyborgs/Emerging Technologies/Health and Medicine/Liver Cancer/Machine Learning/Nanoparticles/Nanotechnology/Oncology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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