ArticleNature computational science2022
Mathematical modeling of cancer immunotherapy for personalized clinical translation.
Article in Nature computational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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.
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Who cites it
28 citing papers in PubMed.
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- Evolutionary digital twin framework for optimal aminoglycoside dosing in neonates with suspected sepsis.NPJ digital medicine · 2026Article
- Mathematical modeling of combinatorial antigen targeting with multiple CAR T-cell products for glioblastoma treatment.NPJ systems biology and applications · 2026Article
- Navigating the landscape of personalized oncology: overcoming challenges and expanding horizons with computational modeling.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- The theory of tumor immuno-ecodynamics.Frontiers in immunology · 2026Article
- Mathematical model of tumor-macrophage dynamics in glioma to advance myeloid-targeted therapies.Computers in biology and medicine · 2025Article
- Ordinary differential equation model of cancer-associated fibroblast heterogeneity predicts treatment outcomes.NPJ systems biology and applications · 2025Article
- Mathematical model of tumor-macrophage dynamics in glioma to advance myeloid-targeted therapies.bioRxiv : the preprint server for biology · 2025Article
- Multi-scale computational modeling towards efficacy in radiopharmaceutical therapies while minimizing side effects: Modeling of amino acid infusion.PLoS computational biology · 2025Article
- Quantitative Method for Monitoring Tumor Evolution During and After Therapy.Journal of personalized medicine · 2025Article
- Optimizing the Efficacy of Vaccine-Induced Immunotherapy in Melanomas.Bulletin of mathematical biology · 2025Article
- Using mathematical modelling and AI to improve delivery and efficacy of therapies in cancer.Nature reviews. Cancer · 2025Review
- Integration of Immune Cell-Target Cell Conjugate Dynamics Changes the Time Scale of Immune Control of Cancer.Bulletin of mathematical biology · 2025Article
- Role of Immunotherapy in Ovarian Cancer: Advances, Challenges, and Future Perspectives.Cancer treatment and research · 2025Review
- Quantitative Systems Pharmacology Modeling in Immuno-Oncology: Hypothesis Testing, Dose Optimization, and Efficacy Prediction.Handbook of experimental pharmacology · 2025Review
- Mathematical modeling for glioblastoma treatment: scenario generation and validation for clinical patient counseling.Frontiers in oncology · 2025Article
- Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockade.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Hybridizing mechanistic modeling and deep learning for personalized survival prediction after immune checkpoint inhibitor immunotherapy.NPJ systems biology and applications · 2024Article
- Translational modeling-based evidence for enhanced efficacy of standard-of-care drugs in combination with anti-microRNA-155 in non-small-cell lung cancer.Molecular cancer · 2024Article
- Dose optimization of an adjuvanted peptide-based personalized neoantigen melanoma vaccine.PLoS computational biology · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Encouraging advances are being made in cancer immunotherapy modeling, especially in the key areas of developing personalized treatment strategies based on individual patient parameters, predicting treatment outcomes and optimizing immunotherapy synergy when used in combination with other treatment approaches. Here we present a focused review of the most recent mathematical modeling work on cancer immunotherapy with a focus on clinical translatability. It can be seen that this field is transitioning from pure basic science to applications that can make impactful differences in patients' lives. We discuss how researchers are integrating experimental and clinical data to fully inform models so that they can be applied for clinical predictions, and present the challenges that remain to be overcome if widespread clinical adaptation is to be realized. Lastly, we discuss the most promising future applications and areas that are expected to be the focus of extensive upcoming modeling studies.
Identifiers
What OpenQuestion 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 OpenQuestion graph.