Tommaso Lorenzi

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Breast Cancer Cells

Extracellular Matrix

Molecular Dynamics

Top Venues

Journal of the Royal Society, Interface

Physical biology

Bulletin of mathematical biology

Journal of mathematical biology

This page only lists publications with an associated author ORCID identifier.

Publications

Luis Almeida, Jerome Alexandre Denis, Nathalie Ferrand, Tommaso Lorenzi, Antonin Prunet, Michéle Sabbah, Chiara Villa
Evolutionary dynamics of glucose-deprived cancer cells: insights from experimentally informed mathematical modelling. Journal of the Royal Society, Interface 21 (210) (2024)
Luis Almeida, Jerome Alexandre Denis, Nathalie Ferrand, Tommaso Lorenzi, Antonin Prunet, Michéle Sabbah, Chiara Villa
Evolutionary dynamics of glucose-deprived cancer cells: insights from experimentally informed mathematical modelling. Journal of the Royal Society, Interface 21 (210) (2024)
Emma Leschiera, Gheed Al-Hity, Melanie S Flint, Chandrasekhar Venkataraman, Tommaso Lorenzi, Luis Almeida, Chloe Audebert
An individual-based model to explore the impact of psychological stress on immune infiltration into tumour spheroids. Physical biology 21 (2) (2024)
Emma Leschiera, Gheed Al Hity, Melanie Flint, Chandrasekhar Venkataraman, Tommaso Lorenzi, Luis Almeida, Chloe Audebert
An individual-based model to explore the impact of psychological stress on immune infiltration into tumour spheroids. Physical biology (2024)
Luis Almeida, Jerome Alexandre Denis, Nathalie Ferrand, Tommaso Lorenzi, Antonin Prunet, Michéle Sabbah, Chiara Villa
Evolutionary dynamics of glucose-deprived cancer cells: insights from experimentally informed mathematical modelling. Journal of the Royal Society, Interface 21 (210) (2024)
Emma Leschiera, Gheed Al-Hity, Melanie S Flint, Chandrasekhar Venkataraman, Tommaso Lorenzi, Luis Almeida, Chloe Audebert
An individual-based model to explore the impact of psychological stress on immune infiltration into tumour spheroids. Physical biology 21 (2) (2024)
Luis Almeida, Jerome Alexandre Denis, Nathalie Ferrand, Tommaso Lorenzi, Antonin Prunet, Michéle Sabbah, Chiara Villa
Evolutionary dynamics of glucose-deprived cancer cells: insights from experimentally informed mathematical modelling. Journal of the Royal Society, Interface 21 (210) (2024)
Chiara Villa, Mark A J Chaplain, Alf Gerisch, Tommaso Lorenzi
Mechanical Models of Pattern and Form in Biological Tissues: The Role of Stress-Strain Constitutive Equations. Bulletin of mathematical biology 83 (7) (2021)
Chloé Colson, Faustino Sánchez-Garduño, Helen M Byrne, Philip K Maini, Tommaso Lorenzi
Travelling-wave analysis of a model of tumour invasion with degenerate, cross-dependent diffusion. Proceedings. Mathematical, physical, and engineering sciences 477 (2256) (2021)
Tommaso Lorenzi, Andrea Pugliese, Mattia Sensi, Agnese Zardini
Evolutionary dynamics in an SI epidemic model with phenotype-structured susceptible compartment. Journal of mathematical biology 83 (6-7) (2021)
Giada Fiandaca, Marcello Delitala, Tommaso Lorenzi
A Mathematical Study of the Influence of Hypoxia and Acidity on the Evolutionary Dynamics of Cancer. Bulletin of mathematical biology 83 (7) (2021)
Aleksandra Ardaševa, Robert A Gatenby, Alexander R A Anderson, Helen M Byrne, Philip K Maini, Tommaso Lorenzi
A Mathematical Dissection of the Adaptation of Cell Populations to Fluctuating Oxygen Levels. Bulletin of mathematical biology 82 (6) (2020)
Federica Bubba, Tommaso Lorenzi, Fiona R Macfarlane
From a discrete model of chemotaxis with volume-filling to a generalized Patlak-Keller-Segel model. Proceedings. Mathematical, physical, and engineering sciences 476 (2237) (2020)
Aleksandra Ardaševa, Robert A Gatenby, Alexander R A Anderson, Helen M Byrne, Philip K Maini, Tommaso Lorenzi
Evolutionary dynamics of competing phenotype-structured populations in periodically fluctuating environments. Journal of mathematical biology 80 (3) (2019)
Tommaso Lorenzi, Rebecca H Chisholm, Jean Clairambault
Tracking the evolution of cancer cell populations through the mathematical lens of phenotype-structured equations. Biology direct 11 (2016)