From digital control to digital twins in medicine: A brief review and future perspectives

R Eftimie, A Mavrodin, SPA Bordas - Advances in Applied Mechanics, 2023 - Elsevier
The last few decades have been dominated by the need for digital control of various
processes in biology and medicine. Advances in artificial intelligence (AI) over the last few …

A deep neural network for operator learning enhanced by attention and gating mechanisms for long-time forecasting of tumor growth

Q Chen, H Li, X Zheng - Engineering with Computers, 2024 - Springer
Forecasting tumor progression and assessing the uncertainty of predictions play a crucial
role in clinical settings, especially for determining disease outlook and making informed …

[HTML][HTML] A simple agent-based hybrid model to simulate the biophysics of glioblastoma multiforme cells and the concomitant evolution of the oxygen field

L Saucedo-Mora, MÁ Sanz, FJ Montáns… - Computer Methods and …, 2024 - Elsevier
Background and objectives: Glioblastoma multiforme (GBM) is one of the most aggressive
cancers of the central nervous system. It is characterized by a high mitotic activity and an …

Review of the Brain's Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM)

L Irastorza-Valera, E Soria-Gómez, JM Benitez… - Biomimetics, 2024 - mdpi.com
The brain is the most complex organ in the human body and, as such, its study entails great
challenges (methodological, theoretical, etc.). Nonetheless, there is a remarkable amount of …

Spatial computational modelling illuminates the role of the tumour microenvironment for treating glioblastoma with immunotherapies

B Mongeon, J Hébert-Doutreloux… - npj Systems Biology …, 2024 - nature.com
Glioblastoma is the most common and deadliest brain tumour in adults, with a median
survival of 15 months under the current standard of care. Immunotherapies like immune …

[HTML][HTML] Histology-guided mathematical model of tumor oxygenation: sensitivity analysis of physical and computational parameters

AME Ojwang, S Bazargan, JO Johnson… - bioRxiv, 2024 - ncbi.nlm.nih.gov
A hybrid off-lattice agent-based model has been developed to reconstruct the tumor tissue
oxygenation landscape based on histology images and simulated interactions between …

Agent-Based Modeling and Simulation, with Emphasis on Healthcare Data

K Sharma - Text Mining Approaches for Biomedical Data, 2024 - Springer
Abstract Agent-Based Modeling and Simulation (ABMS) can indeed be a useful tool in
simulating real-world scenarios and informing policy formation in various domains, including …

Connecting Different Approaches for Cell Cycle Modeling: Learning Ordinary Differential Equations from Individual-Based Models

GT Naozuka, HL Rocha, TJ Pereira, G Libotte… - Available at SSRN … - papers.ssrn.com
Abstract Background and Objectives: We explore the use of cell cycle agent-based models
(ABMs) built on the PhysiCell platform alongside their corresponding surrogate ordinary …