Unified tumor growth mechanisms from multimodel inference and dataset integration
Mechanistic models of biological processes can explain observed phenomena and predict
responses to a perturbation. A mathematical model is typically constructed using expert …
responses to a perturbation. A mathematical model is typically constructed using expert …
Integrating quantitative assays with biologically based mathematical modeling for predictive oncology
We provide an overview on the use of biological assays to calibrate and initialize
mechanism-based models of cancer phenomena. Although artificial intelligence methods …
mechanism-based models of cancer phenomena. Although artificial intelligence methods …
Integration of heterogeneous biological data in multiscale mechanistic model calibration: application to lung adenocarcinoma
JL Palgen, A Perrillat-Mercerot, N Ceres, E Peyronnet… - Acta biotheoretica, 2022 - Springer
Mechanistic models are built using knowledge as the primary information source, with well-
established biological and physical laws determining the causal relationships within the …
established biological and physical laws determining the causal relationships within the …
Modeling genotypes in their microenvironment to predict single-and multi-cellular behavior
A cell's phenotype is the set of observable characteristics resulting from the interaction of the
genotype with the surrounding environment, determining cell behavior. Deciphering …
genotype with the surrounding environment, determining cell behavior. Deciphering …
Cell signaling heterogeneity is modulated by both cell-intrinsic and-extrinsic mechanisms: An integrated approach to understanding targeted therapy
During the last decade, our understanding of cancer cell signaling networks has significantly
improved, leading to the development of various targeted therapies that have elicited …
improved, leading to the development of various targeted therapies that have elicited …
SMoRe ParS: A novel methodology for bridging modeling modalities and experimental data applied to 3D vascular tumor growth
Multiscale systems biology is having an increasingly powerful impact on our understanding
of the interconnected molecular, cellular, and microenvironmental drivers of tumor growth …
of the interconnected molecular, cellular, and microenvironmental drivers of tumor growth …
Navigating multi-scale cancer systems biology towards model-driven clinical oncology and its applications in personalized therapeutics
MN Gondal, SU Chaudhary - Frontiers in Oncology, 2021 - frontiersin.org
Rapid advancements in high-throughput omics technologies and experimental protocols
have led to the generation of vast amounts of scale-specific biomolecular data on cancer …
have led to the generation of vast amounts of scale-specific biomolecular data on cancer …
High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow
Background Cancer is a complex, multiscale dynamical system, with interactions between
tumor cells and non-cancerous host systems. Therapies act on this combined cancer-host …
tumor cells and non-cancerous host systems. Therapies act on this combined cancer-host …
[HTML][HTML] Integration of transcriptomics data into agent-based models of solid tumor metastasis
Recent progress in our understanding of cancer mostly relies on the systematic profiling of
patient samples with high-throughput techniques like transcriptomics. With this approach …
patient samples with high-throughput techniques like transcriptomics. With this approach …
Efficient Bayesian inference for mechanistic modelling with high-throughput data
S Martina Perez, H Sailem… - PLOS Computational …, 2022 - journals.plos.org
Bayesian methods are routinely used to combine experimental data with detailed
mathematical models to obtain insights into physical phenomena. However, the …
mathematical models to obtain insights into physical phenomena. However, the …