Rosamaria Fiata
Design and development of an intelligent algorithm for optimizing biomedical data acquisition on miniaturized devices.
Rel. Giovanni Squillero, Nicolo' Bellarmino. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2025
Abstract
This work contributes to the development of robust and interpretable diagnostic models, and supports the future integration of real-time, low-cost breath analysis into clinical workflows. Helicobacter pylori is a spiral-shaped bacterium that colonizes the human stomach and causes chronic inflammation of the gastric mucosa. Its urease activity leads to ulcer formation, which is a known risk factor for gastric cancer. The ¹³C-Urea Breath Test (UBT) detects this infection by measuring ¹³CO₂ in exhaled breath after ingestion of labeled urea. The diagnostic decision traditionally relies on the Delta Over Baseline (DOB) metric, defined as the difference in ¹³C values before and after the ingestion.
However, it will be demonstrated that the DOB measure is sensitive to instrument drift, ion current variability and acquisition modes which can all affect precision and diagnostic reliability particularly around the decision boundary
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