Full processing pipeline.

<p>A: Each urine sample is measured over 41 minutes across 480 m/z values, yielding a 3D signal (time, m/z, ion intensity). B: Each sample undergoes pre-processing which includes rounding m/z values, segmenting time frames, baseline drift correction, quantile-based noise correction, and Mirex...

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Bibliographic Details
Main Author:	Adan Rotteveel (21453104) (author)
Other Authors:	Wen-Yee Lee (1869589) (author), Zoi Kountouri (21453107) (author), Nikolas Stefanou (21453110) (author), Howard Kivell (21453113) (author), Clifford Gluck (21453116) (author), Shuguang Zhang (9707) (author), Andreas Mershin (377095) (author)
Published:	2025
Subjects:	Cell Biology Biotechnology Infectious Diseases Space Science Biological Sciences not elsewhere classified wider emergent field similarly trained canines olfactory diagnostic capabilities invasive diagnostic alternative invasive biopsy procedures generalize across studies bypasses molecular identification baseline drift removal address confounding factors domain adversarial learning medical detection dogs machine learning approach pca &# 8220 machine learning pca detection step pre source bias scent character reduce chromatograms mass spectrometry increasingly global image representations health concern fully non findings demonstrate early results debiasing pipeline current screening also relevant
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Full processing pipeline.

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