articleCritical Reviews in Oncology/HematologyJan 30, 2026HYBRID OA

Digital twins in oncology: From predictive modelling to personalised treatment strategies

University of East London · Leeds Teaching Hospitals NHS Trust · +4 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

The digital twin (DT) concept, originating from engineering disciplines, has emerged as a transformative technology in healthcare, particularly in oncology. A digital twin creates a dynamic, virtual replica of a patient's physiological and pathological state, integrating multi-dimensional data to enable personalised cancer care. Despite growing interest, comprehensive reviews examining the breadth of DT applications in oncology remain limited. This narrative review aims to synthesise current evidence on digital twin applications in oncology, evaluate their potential to transform cancer care delivery, and identify challenges hindering clinical translation. A comprehensive literature search was conducted across…

Citation impact

10
total citations
FWCI
148.47
Percentile
100%
References
60
Too recent for citation history.

Authors

6

Topics & keywords

Keywords
  • Transformative learning
  • Narrative review
  • Precision medicine
  • Metadata
  • Health care
  • Cancer survivorship
  • Grey literature
  • Digital health
UN Sustainable Development Goals
  • Partnerships for the goals
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