Digital twins in oncology.

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

21 citing papers in PubMed.

1. Effective tumor kinetics inferred from single routine H&E biopsies enable counterfactual virtual radiotherapy trials.medRxiv : the preprint server for health sciences · 2026
   Article
2. AI-Enabled Real-World Evidence in Oncology: A Statistical Perspective for Regulatory Decisions.Therapeutic innovation & regulatory science · 2026
   Review
3. Best of 2025 in prostate cancer and prostatic diseases.Prostate cancer and prostatic diseases · 2026
   Article
4. Treatment Regret in Patients Undergoing Minimally Invasive Treatments for Benign Prostatic Hyperplasia.Journal of clinical medicine · 2026
   Article
5. From images to physics-based computational models to digital twins: a framework for personalized cancer therapies.Frontiers in radiology · 2026
   Article
6. Exploring innovative G-CSF schedules in AML cytarabine-based consolidation through a digital twin study of white blood cell recovery.PloS one · 2026
   Article
7. Exploring the Potential of Digital Twins in Cancer Treatment: A Narrative Review of Reviews.Journal of clinical medicine · 2025
   Review
8. Data-Driven Defragmentation: Achieving Value-Based Sarcoma and Rare Cancer Care Through Integrated Care Pathway Mapping.Journal of personalized medicine · 2025
   Review
9. Advances and critical aspects in cancer treatment development using digital twins.Briefings in bioinformatics · 2025
   Review
10. Digital twins in oncology: where we are and where we hope to go.BMJ oncology · 2025
    Article
11. Mechanisms of isorhamnetin inhibition of osteoclast differentiation: insights from molecular dynamics simulations andFrontiers in pharmacology · 2025
    Article
12. Advancing Precision Oncology with Digital and Virtual Twins: A Scoping Review.Cancers · 2024
    Article
13. Digital twins: a new paradigm in oncology in the era of big data.ESMO real world data and digital oncology · 2024
    Review
14. A comprehensive review of computational cell cycle models in guiding cancer treatment strategies.NPJ systems biology and applications · 2024
    Review
15. A review of mechanistic learning in mathematical oncology.Frontiers in immunology · 2024
    Review
16. Theranostic digital twins: Concept, framework and roadmap towards personalized radiopharmaceutical therapies.Theranostics · 2024
    Review
17. Isorhamnetin: what is theFrontiers in pharmacology · 2024
    Review
18. Digital Health Technology & Cancer Care: Conceptual Framework Leading Comprehensive Fruitfulness.Journal of healthcare leadership · 2024
    Article
19. AML consolidation therapy: timing matters.Journal of cancer research and clinical oncology · 2023
    Article
20. Intelligent Digital Twins for Personalized Migraine Care.Journal of personalized medicine · 2023
    Review

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as