Evidence map›Paper›PMID 40500690›Full record

ArticleBMC bioinformatics2025

Start & Stop: a PhysiCell and PhysiBoSS 2.0 add-on for interactive simulation control.

Riccardo Smeriglio, Roberta Bardini, Alessandro Savino, Stefano Di Carlo

Abstract read
In one paragraph

Article in BMC bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Riccardo SmeriglioDepartment of Control and Computer Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129, Turin, TO, Italy.
Roberta BardiniDepartment of Control and Computer Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129, Turin, TO, Italy. roberta.bardini@polito.it.
Alessandro SavinoDepartment of Control and Computer Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129, Turin, TO, Italy.
Stefano Di CarloDepartment of Control and Computer Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129, Turin, TO, Italy. stefano.dicarlo@polito.it.

Funding

Ministero dell'Università e della Ricerca 20222RT5LC
6 · The paper itself

Abstract

In computational biology, in silico simulators are vital for exploring and understanding the behavior of complex biological systems. Hybrid multi-level simulators, such as PhysiCell and PhysiBoSS 2.0, integrate multiple layers of biological complexity, providing deeper insights into emergent patterns. However, one key limitation of these simulators is the inability to adjust simulation parameters once the simulation has started, which hinders the interactive exploration and adaptation of dynamic protocols ranging from biofabrication to in vitro pharmacological testing. To address this challenge, we introduce the Start & Stop add-on for PhysiCell and PhysiBoSS 2.0. This add-on offers multi-level state preservation and multi-modal stop control, triggered by simulation time or cell conditions, enabling users to pause a simulation, adjust parameters, and then resume from the exact halted state. We validate Start & Stop using two well-established PhysiBoSS 2.0 use cases, a tumor spheroid 3T3 mouse fibroblasts use case under tumor necrosis factor (TNF) stimulation, and a lung cancer cell line invasion simulation, demonstrating that it preserves the simulator's original behavior while enabling interactive configuration changes that facilitate the exploration of diverse and adaptive treatment strategies. By enhancing flexibility and user interaction, Start & Stop makes PhysiCell and PhysiBoSS 2.0 more akin to real in vitro scenarios, thus expanding the range of potential simulations and advancing more effective protocol development in a variety of applications.

Indexed as

Computational BiologyComputer SimulationModels, BiologicalSoftware3T3 CellsAnimalsCell Line, TumorHumansMiceComputational biologyIn silicoModelingMulti-scaleSimulation

Identifiers

PMID40500690
PMCPMC12160357

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.