A new study published by the data-science group of the attoworld team in “PRX Life” reports a way to convert complex blood-based infrared fingerprints into discrete, biomarker-like variables that can be more readily linked to an individual’s health state. The paper, titled “Discretization of Blood-Based Infrared Fingerprints Reveals Biomarker-like Variables for Efficient Multi-omics Integration,” was published on April 1, 2026.
The work, by Kosmas Kepesidis, Ferenc Krausz, and colleagues, introduces a methodology based on the zero-crossing time gaps of electric-field signals from blood-based infrared measurements. The approach is designed to reveal variables that behave more like conventional biomarkers while preserving information contained in the broader spectral fingerprint.
The advance could help bridge a longstanding gap between rapid infrared blood profiling and high-dimensional molecular assays such as proteomics and other omics technologies. By making infrared signatures more interpretable and easier to integrate with multi-omics data, the study points toward more efficient strategies for health monitoring and precision medicine.
The article adds to growing interest in blood-based infrared molecular fingerprinting as a scalable route to extracting clinically relevant information from minimally invasive samples.
Original publication:
Discretization of Blood-Based Infrared Fingerprints Reveals Biomarker-like Variables for Efficient Multi-omics Integration
K. Kepesidis, N. Feiler, V. Papalampropoulos, M. Trubetskov, A. Döpp, F. Krausz
PRX Life 4, 023001 (2026)
Picture: Thorsten Naeser
