activity
20232026
most citedDerivation and travelling wave analysis of phenotype-structured haptotaxis models of cancer invasion

8 citations · 10 across the 13 of their papers we have counts for

collaborators

13 papers

math.AP2026

Speed and stability of segregated waves in a pressure-based model of heterogeneous cell populations

Carles Falcó, Rebecca M. Crossley, Martina Conte +1

We consider a minimal pressure-based model of heterogeneous cell populations consisting of proliferative and non-proliferative cells with different mobilities. The model is formula…

math.AP2025

Kinetic and mean-field modeling of muscular dystrophies

Tommaso Lorenzi, Horacio Tettamanti, Mattia Zanella

We present a new class of models for assessing the cell dynamics characterising muscular dystrophies. The proposed approach comprises a system of integro-differential equations for…

math.AP2025

Derivation and quasi-invariant asymptotics of phenotype-structured integro-differential models

Emanuele Bernardi, Tommaso Lorenzi, Andrea Tosin

Building upon kinetic theory approaches for mass-varying multi-agent systems, we develop a modelling framework for phenotype-structured populations that makes it possible to bridge…

q-bio.PE2025

A phenotype-structured reaction-diffusion model of avascular glioma growth

Francesca Ballatore, Xinran Ruan, Chiara Giverso +1

We consider a phenotype-structured reaction-diffusion model of avascular glioma growth. The model describes the interaction dynamics between tumour cells and oxygen, and takes into…

math.AP2025

On a phenotype-structured phase-field model of nutrient-limited tumour growth

Tommaso Lorenzi, Giulia Pozzi, Andrea Signori

Phase-field models of tumour growth have proved useful as theoretical tools to investigate cancer invasion. A key implicit assumption underlying mathematical models of this type wh…

q-bio.PE2025

Pattern formation within phenotype-structured chemotactic populations

Tommaso Lorenzi, Kevin J. Painter

Populations can become spatially organised through chemotaxis autoattraction, wherein population members release their own chemoattractant. Standard models of this process usually…

q-bio.PE2025★ 2 cited

Heterogeneously structured compartmental models of epidemiological systems: from individual-level processes to population-scale dynamics

Emanuele Bernardi, Tommaso Lorenzi, Mattia Sensi +1

We develop a general modelling framework for compartmental epidemiological systems structured by continuous variables which are linked to the levels of expression of compartment-sp…

q-bio.CB2025

Trait-structured chemotaxis: Exploring ligand-receptor dynamics and travelling wave properties in a Keller-Segel model

Viktoria Freingruber, Tommaso Lorenzi, Kevin J. Painter +1

A novel trait-structured Keller-Segel model that explores the dynamics of a migrating cell population guided by chemotaxis in response to an external ligand concentration is derive…

q-bio.CB2024

Phenotype-structuring of non-local kinetic models of cell migration driven by environmental sensing

Tommaso Lorenzi, Nadia Loy, Chiara Villa

The capability of cells to form surface extensions to non-locally probe the surrounding environment plays a key role in cell migration. The existing mathematical models for migrati…

math.AP2024

Spatial segregation across travelling fronts in individual-based and continuum models for the growth of heterogeneous cell populations

José A. Carrillo, Tommaso Lorenzi, Fiona R. Macfarlane

We consider a partial differential equation model for the growth of heterogeneous cell populations subdivided into multiple distinct discrete phenotypes. In this model, cells prefe…

q-bio.CB2024

Phenotype structuring in collective cell migration:a tutorial of mathematical models and methods

Tommaso Lorenzi, Kevin J Painter, Chiara Villa

Populations are heterogeneous, deviating in numerous ways. Phenotypic diversity refers to the range of traits or characteristics across a population, where for cells this could be…

q-bio.CB2024

Phenotypic switching mechanisms determine the structure of cell migration into extracellular matrix under the `go-or-grow' hypothesis

Rebecca M. Crossley, Kevin J. Painter, Tommaso Lorenzi +2

A fundamental feature of collective cell migration is phenotypic heterogeneity which, for example, influences tumour progression and relapse. While current mathematical models ofte…

math.AP2023★ 8 cited

Derivation and travelling wave analysis of phenotype-structured haptotaxis models of cancer invasion

Tommaso Lorenzi, Fiona R. Macfarlane, Kevin J. Painter

We formulate haptotaxis models of cancer invasion wherein the infiltrating cancer cells can occupy a spectrum of states in phenotype space, ranging from `fully mesenchymal' to `ful…