R. Thiessen, M. Conte, T.L. Stepien, and T. Hillen. Go‑or‑Grow models in biology: a monster on a leash. Journal of Mathematical Biology, 91(5): 58 (2025).
M. Conte, A. Xella, R.T. Woodall, K.A. Cassady, S. Branciamore, C.E. Brown, and R.C Rockne. CAR T-cell and oncolytic virus dynamics and determinants of combination therapy success for glioblastoma. Mathematical Biosciences, 389: 109531 (2025).
M. Conte, and R. Travaglini. A kinetic derivation of spatial distributed model for tumor-immune system interactions. Chaos, Solitons & Fractals, 200: 116969 (2025)
G. Chiari, M. Conte, and M. Delitala. Multi-scale modeling of SNAIL-mediated response to hypoxia in tumor progression. Communication in Nonlinear Science and Numerical Simulations, 145: 108673 (2025)
M. Conte, V. Cabeza-Fernández, F. J. Oliver, T. Alarcón, and J. Soler. Emergence of cyclic hypoxia and the impact of PARP inhibitors on tumor progression. npj Systems Biology and Applications, 10(1): 122 (2024).
M. Conte, R. Woodall, M. Gutova, B.T. Chen, M.S. Shiroishi, C.E. Brown, J.M. Munson, and R.C. Rockne. Structural and practical identifiability of contrast transport models for DCE-MRI. PLoS Computational Biology, 20(5): e1012106 (2024).
M. Conte, and N. Loy. A non-local kinetic model for cell migration: a study of the interplay between contact guidance and steric hindrance. SIAM Journal on Applied Mathematics, 84(3): S429-S451 (2024).
E. Buckwar, M. Conte, and A. Meddah. A stochastic hierarchical model for low grade glioma evolution. Journal of Mathematical Biology, 86: 89 (2023).
M. Conte, Y. Dzierma, S. Knobe, and C. Surulescu. Mathematical modeling of glioma invasion and therapy approaches via kinetic theory of active particles. Mathematical Models and Methods in Applied Sciences, 33(5): 1009-1051 (2023).
M. Conte, and N. Loy. Multi-cue kinetic model with non-local sensing for cell migration on a fibers network with chemotaxis. Bulletin of Mathematical Biology, 84: 42 (2022).
M. Conte, and C. Surulescu. Mathematical modeling of glioma invasion: acid- and vasculature mediated go-or-grow dichotomy and the influence of tissue anisotropy. Applied Mathematics and Computation, 407: 126305 (2021).
M. Conte, S. Casas-Tintò, and J. Soler. Modeling invasion patterns in the glioblastoma battlefield. PLoS Computational Biology, 17(1): e1008632 (2021).
M. Conte, L. Gerardo–Giorda, and M. Groppi. Glioma invasion and its interplay with nervous tissue and therapy: a multiscale model. Journal of Theoretical Biology, 486: 110088 (2020).
M. Conte, M. Groppi, and G. Spiga. Qualitative analysis of kinetic-based models for tumor-immune system interaction. Discrete & Continous Dynamical Systems - Series B, 23(6): 2393-2414 (2018).
M. Conte, M. Groppi, and A. Tosin. Kinetic and macroscopic equations for action potential in neural networks. In: d'Onofrio, A., Fasano, A., Papa, F., Sinisgalli, C. (eds) Problems in Mathematical Biophysics: A Volume in Memory of Alberto Gandolfi. SEMA SIMAI Springer Series, 38: 77-104. Springer Nature Switzerland, 2024.
N. Loy, and M. Conte. Modeling cell migration in cancer spread as a response to multi-cue heterogeneous environments: a kinetic approach. In: Eftimie, R., Trucu, D. (eds) Modelling and Computational Approaches for Multi-scale Phenomena in Cancer Research. World Scientific, 5: 121-147 (2024).
M. Bisi, M. Conte, and M. Groppi. Action potential dynamics on heterogeneous neural networks: from kinetic to macroscopic equations. In: Čolić, M., Giesselmann, J., Glück, J., Fijavž, MK., Mugnolo, D., and Mauroy, A. (eds) Mathematical models for interacting dynamics on networks. Springer book series Trends in Mathematics - In press
M. Bisi, M. Conte, and M. Groppi. Kinetic modeling of knowledge and wealth dynamics in national and global markets. (2025)
M. Conte, and N. Loy. A novel linear transport model with distinct scattering mechanisms for direction and speed. (2025)
M. Conte, S. Hiremath, and C. Surulescu - TBA
M. Conte, and N. Loy - TBA