System Modeling and Machine Learning in Prediction of Metastases in Lung Cancer

Andrzej Swierniak, Emilia Kozłowska, Krzysztof Fujarewicz, Damian Borys, Agata Wilk, Jaroslaw Smieja, Rafal Suwinski

2023

Abstract

The aim of this paper is to present goals and preliminary results of our project devoted to system engineering approach in prediction of metastases in lung cancer. More specifically we consider existing and develop new methods of system modeling, machine learning, signal processing and intelligent control to find biomarkers enabling prediction of risk of tumor spread and colonization of distant organs in non-small-cell lung carcinoma basing on clinical data and medical images. The results could bring us knowledge about the dynamics and origin of metastatic dissemination of lung cancer. By dynamics, we understand when and where a tumor will disseminate, and by origin we mean dissemination path (directly from original tumor or through lymphatic nodes). This information is very valuable for clinicians, as it could guide the personalized treatment of lung cancer patients. The results will elucidate important issues concerning prediction of individual progress of cancer and treatment outcome in oncology. They will provide both theoretical and simulation tools to support decision making and diagnostics in oncology, on the basis of individual patient state.

Paper Citation

in Harvard Style

Swierniak A., Kozłowska E., Fujarewicz K., Borys D., Wilk A., Smieja J. and Suwinski R. (2023). System Modeling and Machine Learning in Prediction of Metastases in Lung Cancer. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 3: BIOINFORMATICS; ISBN 978-989-758-631-6, SciTePress, pages 220-227. DOI: 10.5220/0011705300003414

in Bibtex Style

@conference{bioinformatics23,
author={Andrzej Swierniak and Emilia Kozłowska and Krzysztof Fujarewicz and Damian Borys and Agata Wilk and Jaroslaw Smieja and Rafal Suwinski},
title={System Modeling and Machine Learning in Prediction of Metastases in Lung Cancer},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 3: BIOINFORMATICS},
year={2023},
pages={220-227},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011705300003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 3: BIOINFORMATICS
TI - System Modeling and Machine Learning in Prediction of Metastases in Lung Cancer
SN - 978-989-758-631-6
AU - Swierniak A.
AU - Kozłowska E.
AU - Fujarewicz K.
AU - Borys D.
AU - Wilk A.
AU - Smieja J.
AU - Suwinski R.
PY - 2023
SP - 220
EP - 227
DO - 10.5220/0011705300003414
PB - SciTePress