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Discretization of Blood-Based Infrared Fingerprints Reveals Biomarker-like Variables for Efficient Multi-omics Integration

Kosmas V. Kepesidis1,2,3,*, Nico Feiler1,2, Vasileios Papalampropoulos1, Michael Trubetskov2, Andreas Döpp1,2, and Ferenc Krausz1,2,3,†

  • *Contact author: kosmas.kepesidis@lmu.de
  • †Contact author: ferenc.krausz@mpq.mpg.de
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PRX Life 4, 023001 – Published 1 April, 2026

DOI: https://doi.org/10.1103/8x56-xvyh

Abstract

We present a methodology that leverages the zero-crossing time gaps of electric-field molecular fingerprints from liquid biopsies to extract information about their molecular composition. By analyzing zero-crossing timings, we demonstrate that these temporal features encode all medically relevant information contained in the original time traces. A clinical study targeting lung cancer detection using human blood samples reveals that aberrations in zero-crossing time gaps are associated with the presence of the disease and its progression. The proposed approach to discretizing continuous molecular signals through zero-crossing analysis enables compact representation of physiological signatures and can facilitate integration with other omics technologies, opening pathways for comprehensive, multidimensional biological insights.

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PRX Life 4, 023001– Published 1 April, 2026
  • Received 11 August 2025
  • Accepted 9 March 2026
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Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. Open access publication funded by Max Planck Society.

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