An AI-powered blood test to detect cancer using nanoDSF

Philipp O. Tsvetkov; Rémi Eyraud; Stéphane Ayache; Anton A. Bougaev; Soazig Malesinski; Hamed Benazha; Svetlana Gorokhova; Christophe Buffat; Caroline Dehais; Marc Sanson; Franck Bielle; Dominique Figarella-Branger; Olivier Chinot; Emeline Tabouret; François Devred

An AI-powered blood test to detect cancer using nanoDSF

Quantitative Methods 2020-08-11 v1 Machine Learning Tissues and Organs

Authors: Philipp O. Tsvetkov , Rémi Eyraud , Stéphane Ayache , Anton A. Bougaev , Soazig Malesinski , Hamed Benazha , Svetlana Gorokhova , Christophe Buffat , Caroline Dehais , Marc Sanson , Franck Bielle , Dominique Figarella-Branger , Olivier Chinot , Emeline Tabouret , François Devred

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Abstract

We describe a novel cancer diagnostic method based on plasma denaturation profiles obtained by a non-conventional use of Differential Scanning Fluorimetry. We show that 84 glioma patients and 63 healthy controls can be automatically classified using denaturation profiles with the help of machine learning algorithms with 92% accuracy. Proposed high throughput workflow can be applied to any type of cancer and could become a powerful pan-cancer diagnostic and monitoring tool from a simple blood test.

Keywords

cancer diagnostic plasma denaturation profiles differential scanning fluorimetry machine learning pan-cancer blood test

Cite

@article{arxiv.2008.03493,
  title  = {An AI-powered blood test to detect cancer using nanoDSF},
  author = {Philipp O. Tsvetkov and Rémi Eyraud and Stéphane Ayache and Anton A. Bougaev and Soazig Malesinski and Hamed Benazha and Svetlana Gorokhova and Christophe Buffat and Caroline Dehais and Marc Sanson and Franck Bielle and Dominique Figarella-Branger and Olivier Chinot and Emeline Tabouret and François Devred},
  journal= {arXiv preprint arXiv:2008.03493},
  year   = {2020}
}

An AI-powered blood test to detect cancer using nanoDSF

Abstract

Keywords

Cite

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