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A Minimal Model of Cancer Growth, Metastasis and Treatment

  • Rice University

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

3 Citations (Scopus)

Abstract

The paper is concerned with modeling cancer growth, metastasis and response to anticancer treatment in a heterogeneous population of patients. Following a discussion of existing models, multicompartmental models are compared using Kaplan-Meier survival curves. Subsequently, different death conditions are analyzed, leading to the final conclusion that a simple, two-compartmental model describes primary and metastatic tumors well enough but death condition must fine-tuned to available clinical survival curves.

Original languageEnglish
Title of host publicationRecent Challenges in Intelligent Information and Database Systems - 14th Asian Conference, ACIIDS 2022, Proceedings
EditorsEdward Szczerbicki, Krystian Wojtkiewicz, Sinh Van Nguyen, Marcin Pietranik, Marek Krótkiewicz
PublisherSpringer Science and Business Media Deutschland GmbH
Pages566-577
Number of pages12
ISBN (Print)9789811982330
DOIs
Publication statusPublished - 2022
Event14th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2022 - Ho Chi Minh City, Viet Nam
Duration: 28 Nov 202230 Nov 2022

Publication series

NameCommunications in Computer and Information Science
Volume1716 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference14th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2022
Country/TerritoryViet Nam
CityHo Chi Minh City
Period28/11/2230/11/22

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

  • Kaplan-Meyer survival curves
  • Metastasis
  • Modeling of cancer growth

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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