Literature Database Entry

pal2025machine

Saswati Pal, Jorge Torres Gómez, Lisa Y. Debus, Regine Wendt, Florian-Lennert Adrian Lau, Cyrus Khandanpour, Malte Sieren, Stefan Fischer and Falko Dressler, "Machine Learning-Driven Localization of Infection Sources in the Human Cardiovascular System," IEEE Transactions on Molecular, Biological and Multi-Scale Communications, September 2025. (online first)

Abstract

In vivo localization of infection sources is essential for effective diagnosis and targeted disease treatment. In this work, we leverage machine learning models to associate the temporal dynamics of biomarkers detected at static gateway positions with different infection source locations. In particular, we introduce a simulation that models infection sources, the release of biomarkers, and their decay as they flow through the bloodstream. From this, we extract time-series biomarker data with varying decay rates to capture temporal patterns from different infection sources at specific gateway positions. We then train a stacked ensemble model using LightGBM and BernoulliNB to analyze biomarker time-series data for classification. Our results reveal that higher biomarker degradation rates significantly reduce the localization accuracy by limiting the biomarker signal detected at the gateways. A fivefold increase in decay rate lowers the mean cross-validation accuracy from ∼92% to ∼66%. This effect is more pronounced for infection sources located farther from the gateways, e.g., the kidneys. Due to the longer distance, more biomarkers degrade before reaching the wrist-located gateways, leading to a substantial decline in classification performance.

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Saswati Pal
Jorge Torres Gómez
Lisa Y. Debus
Regine Wendt
Florian-Lennert Adrian Lau
Cyrus Khandanpour
Malte Sieren
Stefan Fischer
Falko Dressler

BibTeX reference

@article{pal2025machine,
    author = {Pal, Saswati and Torres G{\'{o}}mez, Jorge and Debus, Lisa Y. and Wendt, Regine and Lau, Florian-Lennert Adrian and Khandanpour, Cyrus and Sieren, Malte and Fischer, Stefan and Dressler, Falko},
    doi = {10.1109/TMBMC.2025.3605770},
    note = {to appear},
    title = {{Machine Learning-Driven Localization of Infection Sources in the Human Cardiovascular System}},
    journal = {IEEE Transactions on Molecular, Biological and Multi-Scale Communications},
    issn = {2332-7804},
    publisher = {IEEE},
    month = {9},
    year = {2025},
   }
   
   

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