Prediction of clinical outcomes using the pyrolysis, gas chromatography, and differential mobility spectrometry (Py-GC-DMS) system
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Role of pyrolysis, gas chromatography, and differential mobility spectrometry system for human diseases was explored.

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Using Mantle cell lymphoma as a conceptual model, ionized spectral signals were generated via this system The signal data upon processing with multivariable algorithm to predicted the outcome of the disease with 90% accuracy.

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Py-GS-DMS technology provides an independent strategy to enhancing clinical decision-making towards treatment of the diseases.

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