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

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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.