Improved patient-specific calibration for agent-based cancer modeling.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

11 citing papers in PubMed.

1. Data-driven spatio-temporal modelling of glioblastoma.Royal Society open science · 2023
   Review
2. Agent-based computational modeling of glioblastoma predicts that stromal density is central to oncolytic virus efficacy.iScience · 2022
   Article
3. Impact of Force Function Formulations on the Numerical Simulation of Centre-Based Models.Bulletin of mathematical biology · 2020
   Article
4. A Multiscale Agent-Based Model of Ductal Carcinoma In Situ.IEEE transactions on bio-medical engineering · 2020
   Article
5. A Review of Cell-Based Computational Modeling in Cancer Biology.JCO clinical cancer informatics · 2019
   Review
6. Mathematical models of tumor cell proliferation: A review of the literature.Expert review of anticancer therapy · 2018
   Review
7. PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems.PLoS computational biology · 2018
   Article
8. A hybrid agent-based model of the developing mammary terminal end bud.Journal of theoretical biology · 2016
   Article
9. Progress Towards Computational 3-D Multicellular Systems Biology.Advances in experimental medicine and biology · 2016
   Review
10. Cancer therapeutic potential of combinatorial immuno- and vasomodulatory interventions.Journal of the Royal Society, Interface · 2015
    Article
11. Simulating cancer growth with multiscale agent-based modeling.Seminars in cancer biology · 2015
    Review

Corrections and comments

• Comment on
  Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): from microscopic measurements to macroscopic predictions of clinical progression.2012

Authors and funding

2 authors.

Funding

Abstract

PubMed holds no abstract for this paper.

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