Evidence map›Paper›PMID 42430479›Full record

ArticleScience advances2026

Multicellular simulations with shape and volume constraints using optimal transport.

Antoine Diez, Jean Feydy

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Antoine DiezRIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS), RIKEN iTHEMS, Wako, Saitama 351-0198, Japan.ORCID 0000-0002-4454-8452
Jean FeydyHeKA team, Inria Paris, Inserm, Université Paris-Cité, PariSanté Campus, 2-10 rue d'Oradour-sur-Glane, 75015 Paris, France.ORCID 0000-0001-6049-563X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many living and physical systems such as cell aggregates, tissues, or bacterial colonies behave as unconventional systems of particles that are strongly constrained by volume exclusion and shape interactions. Understanding how these constraints lead to macroscopic self-organized structures is a fundamental question in, e.g., developmental biology. Here, we introduce a framework to model particle systems with arbitrary volumes, dynamical shapes, and deformability properties. Our method is grounded in optimal transport theory and its recent applications in incompressible fluid flows, crowd dynamics, and material sciences. Our approach supports a wide range of interaction and deformation mechanisms, while automatically taking care of the volume exclusion constraint with state-of-the-art numerical performance. We showcase the versatility of this approach through a series of experiments, demonstrating how it extends and refines results from previous approaches, with a special focus on challenging 3D situations in biophysics.

Identifiers

PMID42430479
PMCPMC13353413

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Registered trials

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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 OpenQuestion graph.