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Emerging Tumor Development by Simulating Single-cell Events
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Interface dynamics of competing tissues
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Tissue evolution: mechanical interplay of adhesion, pressure, and heterogeneity
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The light-sheet microscopy revolution
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Non-collective Scalable Global Network Based on Local Communications
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Massively Parallel Stencil Code Solver with Autonomous Adaptive Block Distribution
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Resistance to neoadjuvant chemotherapy in triple-negative breast cancer mediated by a reversible drug-tolerant state
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Radiation Improves the Distribution and Uptake of Liposomal Doxorubicin (Caelyx) in Human Osteosarcoma Xenografts
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Metformin Decreases the Dose of Chemotherapy for Prolonging Tumor Remission in Mouse Xenografts Involving Multiple Cancer Cell Types
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Optimal Control of a Time‐Fractional Model of Cancer with Cell Mutations
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A fractional model of tumor growth with a free boundary
inferred← citeshttps://doi.org/10.1093/bioinformatics/btad102openalex-snapshot
SMITH: spatially constrained stochastic model for simulation of intra-tumour heterogeneity
inferred← citeshttps://doi.org/10.1109/tvcg.2023.3326573openalex-snapshot
Fast Compressed Segmentation Volumes for Scientific Visualization
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Random Access Segmentation Volume Compression for Interactive Volume Rendering
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Cells in Silico – introducing a high-performance framework for large-scale tissue modeling
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1010471openalex-snapshot
Development of a scoring function for comparing simulated and experimental tumor spheroids
inferred← citeshttps://doi.org/10.3389/fonc.2021.676948openalex-snapshot
Current Insights and Advancements in Head and Neck Cancer: Emerging Biomarkers and Therapeutics with Cues from Single Cell and 3D Model Omics Profiling
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