This article provides a comprehensive examination of grid anisotropy, a pervasive numerical artifact in Cellular Automaton (CA) simulations that causes unrealistic orientation-dependent growth patterns and compromises result reliability.
This article explores the transformative role of advanced 3D microenvironment chambers, such as the 3MIC, in visualizing and understanding the early stages of cancer metastasis.
This article provides a comprehensive overview of CIBERSORT, a computational method for deconvoluting tumor immune infiltration from bulk tissue gene expression profiles.
This article provides a comprehensive exploration of the ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data) algorithm, a pivotal bioinformatics tool for deciphering tumor...
This article provides a detailed exploration of the xCell algorithm and its advanced version, xCell 2.0, for digital dissection of the tumor microenvironment (TME) from bulk transcriptomics data.
Metastasis remains the primary cause of cancer-related mortality, yet its initial stages are notoriously difficult to observe.
This article comprehensively reviews the development, application, and clinical potential of Voronoi Tessellation-based Cellular Automaton (VTCA) models in oncology.
This article explores the 3D Microenvironment Chamber (3MIC), a transformative ex vivo model designed to directly observe and perturb the early metastatic process.
This comprehensive review explores the application of cellular automaton (CA) models to simulate invasive tumor growth dynamics, addressing the critical need for predictive tools in oncology.
This article provides a comprehensive analysis of emergent behaviors in 3D tumor spheroid models, which bridge the critical gap between traditional 2D cultures and in vivo studies.