首页|Gdansk University of Technology Reports Findings in Cancer (Detection of circula ting tumor cells by means of machine learning using Smart-Seq2 sequencing)
Gdansk University of Technology Reports Findings in Cancer (Detection of circula ting tumor cells by means of machine learning using Smart-Seq2 sequencing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Cancer is the subject of a report. According to news reporting originating from Gdansk, Poland, by New sRx correspondents, research stated, "Circulating tumor cells (CTCs) are tumor c ells that separate from the solid tumor and enter the bloodstream, which can cau se metastasis. Detection and enumeration of CTCs show promising potential as a p redictor for prognosis in cancer patients." Funders for this research include Narodowe Centrum Nauki, Narodowe Centrum Badan i Rozwoju. Our news editors obtained a quote from the research from the Gdansk University o f Technology, "Furthermore, single-cells sequencing is a technique that provides genetic information from individual cells and allows to classify them precisely and reliably. Sequencing data typically comprises thousands of gene expression reads per cell, which artificial intelligence algorithms can accurately analyze. This work presents machine-learning-based classifiers that differentiate CTCs f rom peripheral blood mononuclear cells (PBMCs) based on single cell RNA sequenci ng data. We developed four tree-based models and we trained and tested them on a dataset consisting of Smart-Seq2 sequenced data from primary tumor sections of breast cancer patients and PBMCs and on a public dataset with manually annotated CTC expression profiles from 34 metastatic breast patients, including triple-ne gative breast cancer. Our best models achieved about 95% balanced accuracy on the CTC test set on per cell basis, correctly detecting 133 out of 1 38 CTCs and CTC-PBMC clusters."
GdanskPolandEuropeCancerCyborgsEmerging TechnologiesHealth and MedicineMachine LearningOncology
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