Cover Image

Mathematical Modeling of Cancer-Bacterial Therapy: Analysis and Numerical Simulation via Physics-Informed Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Farkane, Ayoub, Lassounon, David
Format:	Preprint
Published:	2026
Subjects:	Quantitative Methods Machine Learning Numerical Analysis Analysis of PDEs
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stability of solutions of the porous medium equation with growth with respect to the diffusion exponent
by: Dębiec, Tomasz, et al.
Published: (2024)

Equivariant Graph Neural Operator for Modeling 3D Dynamics
by: Xu, Minkai, et al.
Published: (2024)

Kinetic Monte Carlo methods for three-dimensional diffusive capture problems in exterior domains
by: Lindsay, Alan E., et al.
Published: (2024)

A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts
by: Ziarelli, Giovanni, et al.
Published: (2024)

An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis
by: Grosjean, Elise, et al.
Published: (2024)

Optimizing Sparse Generalized Singular Vectors for Feature Selection in Proximal Support Vector Machines with Application to Breast and Ovarian Cancer Detection
by: Ugwu, Ugochukwu O., et al.
Published: (2024)

Penalized Principal Component Analysis Using Smoothing
by: Hurwitz, Rebecca M., et al.
Published: (2023)

Generalization Bounds for Physics-Informed Neural Networks for the Incompressible Navier-Stokes Equations
by: Andre-Sloan, Sebastien, et al.
Published: (2026)

Bayesian Calibration and Model Assessment of Cell Migration Dynamics with Surrogate Model Integration
by: Schenk, Christina, et al.
Published: (2025)

Fractal Language Modelling by Universal Sequence Maps (USM)
by: Almeida, Jonas S, et al.
Published: (2025)

Automated 2D and 3D Finite Element Overclosure Adjustment and Mesh Morphing Using Generalized Regression Neural Networks
by: Andreassen, Thor E., et al.
Published: (2022)

A Novel Use of Pseudospectra in Mathematical Biology: Understanding HPA Axis Sensitivity
by: Drysdale, Catherine, et al.
Published: (2024)

Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
by: Hwang, Youngsik, et al.
Published: (2024)

An Explicit Local Space-Time Adaptive Framework for Monodomain Models
by: Ogiermann, Dennis, et al.
Published: (2023)

Individualizing Glioma Radiotherapy Planning by Optimization of Data and Physics-Informed Discrete Loss
by: Balcerak, Michal, et al.
Published: (2023)

Parameter Identifiability of RNA Dynamics in PDE Transport Models of Fluorescence Recovery After Photobleaching
by: Xu, Qinyu
Published: (2025)

Predicting potato plant vigor from the seed tuber properties
by: Atza, Elisa, et al.
Published: (2024)

Uncertainty Quantification for Fisher-Kolmogorov Equation on Graphs with Application to Patient-Specific Alzheimer Disease
by: Corti, Mattia, et al.
Published: (2023)

Patterns in soil organic carbon dynamics: integrating microbial activity, chemotaxis and data-driven approaches
by: Monti, Angela, et al.
Published: (2024)

A discontinuous Galerkin method for the three-dimensional heterodimer model with application to prion-like proteins' dynamics
by: Antonietti, Paola F., et al.
Published: (2024)

Exploring tau protein and amyloid-beta propagation: a sensitivity analysis of mathematical models based on biological data
by: Corti, Mattia
Published: (2024)

Bayesian dictionary learning estimation of cell membrane permeability from surface pH data
by: Bocchinfuso, Alberto, et al.
Published: (2025)

Cellular diffusion processes in singularly perturbed domains
by: Bressloff, Paul C
Published: (2024)

A first passage model of intravitreal drug delivery and residence time, in relation to ocular geometry, individual variability, and injection location
by: Lamirande, Patricia, et al.
Published: (2024)

DeepRitzSplit Neural Operator for Phase-Field Models via Energy Splitting
by: Huang, Chih-Kang, et al.
Published: (2026)

Group Dispersal Modelling Revisited
by: Ayala, Mario, et al.
Published: (2024)

Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches
by: Wang, Yixuan
Published: (2026)

Soliton profiles: Classical Numerical Schemes vs. Neural Network - Based Solvers
by: Haight, Chandler, et al.
Published: (2025)

Multiscale convergence of the inverse problem for chemotaxis in the Bayesian setting
by: Hellmuth, Kathrin, et al.
Published: (2021)

Planar morphometry via functional shape data analysis and quasi-conformal mappings
by: Li, Hangyu, et al.
Published: (2026)

A Hybrid Finite-Difference-Particle Method for Chemotaxis Models
by: Chertock, Alina, et al.
Published: (2024)

SPIKE: Stable Physics-Informed Kernel Evolution Method for Solving Hyperbolic Conservation Laws
by: Su, Hua, et al.
Published: (2025)

Scalable Signature Kernel Computations for Long Time Series via Local Neumann Series Expansions
by: Tamayo-Rios, Matthew, et al.
Published: (2025)

A multiscale framework integrating within-host infection kinetics with airborne transmission dynamics
by: Omame, Andrew, et al.
Published: (2025)

Numerical Schemes for Signature Kernels
by: Cass, Thomas, et al.
Published: (2025)

How large should be the redundant numbers of copy to make a rare event probable
by: Paquin-Lefebvre, Fred, et al.
Published: (2022)

A Numerical Method for Coupling Parameterized Physics-Informed Neural Networks and FDM for Advanced Thermal-Hydraulic System Simulation
by: Shin, Jeesuk, et al.
Published: (2026)

A Spline-based Physics-Informed Numerical Scheme: Accurate Smooth Solutions for Differential Equations
by: Mourad, Ayman, et al.
Published: (2026)

Hermite Neural Network Simulation for Solving the 2D Schrodinger Equation
by: Parand, Kourosh, et al.
Published: (2024)

Regularity of Second-Order Elliptic PDEs in Spectral Barron Spaces
by: Chen, Ziang, et al.
Published: (2026)