ReviewCancer biology & therapy2024
Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation.
Review in Cancer biology & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the assessment model for palliative care needs in cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Pooled it
- Informing agent-based models with spatial data using convolutional autoencoders.Bioinformatics (Oxford, England) · 2026Article
- Tumor-immune trajectory context connects static tissue architecture to clinical outcomes.bioRxiv : the preprint server for biology · 2026Article
- Who's afraid of synthetic data? Hybrid approaches to deliver medical digital twins.Informatics in medicine unlocked · 2026Article
- A Mechanistic Digital Twin of uPAR-Driven Prostate Cancer Invasion Integrating ODE Signalling and Agent-Based Modelling.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Agent-based modeling of cellular dynamics in adoptive cell therapy.Communications biology · 2026Article
- GSCI: A Generative and Sparse Compressed Sensing Imputation Framework for Single-Cell RNA-Sequencing Dropout Recovery.Computational and structural biotechnology journal · 2026Article
- Trajectory Landscapes for Therapeutic Strategy Design in Agent-Based Tumor Microenvironment Models.IEEE control systems letters · 2026Article
- An agent-based learning model integrating sex differences in renal cell carcinoma.Frontiers in immunology · 2026Article
- Article
- AI-based methods for the assessment of DNA damage and repair mechanisms.Frontiers in systems biology · 2026Review
- Development and validation of a computational tool to predict treatment outcomes in cells from high-grade serous ovarian cancer patients.Bioengineering & translational medicine · 2025Article
- Cancer model with moving extinction threshold reproduces real cancer data.Journal of the Royal Society, Interface · 2025Article
- Personalizing computational models to construct medical digital twins.Journal of the Royal Society, Interface · 2025Article
- Cell populations simulated in silico within SimulCell accurately reproduce the behaviour of experimental cell cultures.NPJ systems biology and applications · 2025Article
- Using mathematical modelling and AI to improve delivery and efficacy of therapies in cancer.Nature reviews. Cancer · 2025Review
- Artificial Intelligence-Powered Insights into Polyclonality and Tumor Evolution.Research (Washington, D.C.) · 2025Review
- Personalizing computational models to construct medical digital twins.bioRxiv : the preprint server for biology · 2024Article
- AMBER: A Modular Model for Tumor Growth, Vasculature and Radiation Response.Bulletin of mathematical biology · 2024Article
- Towards verifiable cancer digital twins: tissue level modeling protocol for precision medicine.Frontiers in physiology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computational models are not just appealing because they can simulate and predict the development of biological phenomena across multiple spatial and temporal scales, but also because they can integrate information from well-established
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.