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Model of Lung Cancer Progression and Metastasis—Need for a Delay

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A deterministic model consisting of both an ordinary differential equation and delay differential equations was proposed to describe the problem of lung cancer growth and its metastatic progression. In order to represent the behaviour of a virtual population of affected individuals, some of the model parameters are randomly generated. This approach makes it possible to determine certain characteristics describing the population, such as the classification of the primary cancer, location of the metastasis or the estimation of survival curves.

Original languageEnglish
Title of host publicationThe Latest Developments and Challenges in Biomedical Engineering - Proceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering
EditorsPaweł Strumiłło, Artur Klepaczko, Michał Strzelecki, Dorota Bociąga
PublisherSpringer Science and Business Media Deutschland GmbH
Pages215-223
Number of pages9
ISBN (Print)9783031384295
DOIs
Publication statusPublished - 2024
EventProceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering, PCBEE 2023 - Lodz, Poland
Duration: 27 Sept 202329 Sept 2023

Publication series

NameLecture Notes in Networks and Systems
Volume746 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceProceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering, PCBEE 2023
Country/TerritoryPoland
CityLodz
Period27/09/2329/09/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • DDEs
  • Metastasis
  • Modeling of lung cancer growth
  • ODE

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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