Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): from microscopic measurements to macroscopic predictions of clinical progression.
about
Computational medicine: translating models to clinical careNext-generation sequencing: a powerful tool for the discovery of molecular markers in breast ductal carcinoma in situIntegrated PK-PD and agent-based modeling in oncologyComputational analysis of three-dimensional epithelial morphogenesis using vertex models.Spatial and functional heterogeneities shape collective behavior of tumor-immune networksAutomated reconstruction algorithm for identification of 3D architectures of cribriform ductal carcinoma in situChaste: an open source C++ library for computational physiology and biology.Impact of metabolic heterogeneity on tumor growth, invasion, and treatment outcomes.Examining the pathogenesis of breast cancer using a novel agent-based model of mammary ductal epithelium dynamicsExamining the Relationship between Pre-Malignant Breast Lesions, Carcinogenesis and Tumor Evolution in the Mammary Epithelium Using an Agent-Based ModelAn integrated computational/experimental model of lymphoma growthModel-Based Tumor Growth Dynamics and Therapy Response in a Mouse Model of De Novo CarcinogenesisProgress Towards Computational 3-D Multicellular Systems Biology.Ovarian tumor attachment, invasion, and vascularization reflect unique microenvironments in the peritoneum: insights from xenograft and mathematical models.Inferring Growth Control Mechanisms in Growing Multi-cellular Spheroids of NSCLC Cells from Spatial-Temporal Image DataExploiting Self-organization in Bioengineered Systems: A Computational ApproachStretched cell cycle model for proliferating lymphocytes.Evolutionary game theory for physical and biological scientists. I. Training and validating population dynamics equations.Evolutionary game theory for physical and biological scientists. II. Population dynamics equations can be associated with interpretations.Identifying a highly-aggressive DCIS subgroup by studying intra-individual DCIS heterogeneity among invasive breast cancer patientsSimulating cancer growth with multiscale agent-based modelingTumor growth in complex, evolving microenvironmental geometries: a diffuse domain approach.Lattice-based model of ductal carcinoma in situ suggests rules for breast cancer progression to an invasive stateDiscrete Element Framework for Modelling Extracellular Matrix, Deformable Cells and Subcellular ComponentsA Geometrically-Constrained Mathematical Model of Mammary Gland Ductal Elongation Reveals Novel Cellular Dynamics within the Terminal End Bud.A Mechanistic Collective Cell Model for Epithelial Colony Growth and Contact Inhibition.Microvessel Chaste: An Open Library for Spatial Modeling of Vascularized Tissues.Integrative physical oncologyThe Need for Integrative Computational Oncology: An Illustrated Example through MMP-Mediated Tissue Degradation.Efficient coarse simulation of a growing avascular tumor.Cellular potts modeling of tumor growth, tumor invasion, and tumor evolution.Mathematical modeling for novel cancer drug discovery and development.An agent-based model of triple-negative breast cancer: the interplay between chemokine receptor CCR5 expression, cancer stem cells, and hypoxiaAgent-Based Modeling of Cancer Stem Cell Driven Solid Tumor Growth.Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success.Significance of Inactivated Genes in Leukemia: Pathogenesis and PrognosisThe modulatory effect of cell–cell contact on the tumourigenic potential of pre-malignant epithelial cells: a computational explorationThe formation of tight tumor clusters affects the efficacy of cell cycle inhibitors: a hybrid model study.Hybrid multiscale modeling and prediction of cancer cell behaviorA computational multiscale agent-based model for simulating spatio-temporal tumour immune response to PD1 and PDL1 inhibition.
P2860
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P2860
Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): from microscopic measurements to macroscopic predictions of clinical progression.
description
2012 nî lūn-bûn
@nan
2012 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Patient-calibrated agent-based ...... tions of clinical progression.
@ast
Patient-calibrated agent-based ...... tions of clinical progression.
@en
type
label
Patient-calibrated agent-based ...... tions of clinical progression.
@ast
Patient-calibrated agent-based ...... tions of clinical progression.
@en
prefLabel
Patient-calibrated agent-based ...... tions of clinical progression.
@ast
Patient-calibrated agent-based ...... tions of clinical progression.
@en
P2093
P2860
P1476
Patient-calibrated agent-based ...... tions of clinical progression.
@en
P2093
Alastair M Thompson
Mary E Edgerton
Paul Macklin
Vittorio Cristini
P2860
P304
P356
10.1016/J.JTBI.2012.02.002
P407
P577
2012-02-09T00:00:00Z