ArticleFrontiers in oncology2026
Digital Twins as catalysts for Whole Person Health Mind Body Medicine in Integrative Oncology.
Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Mapping the health management journey of allogeneic hematopoietic stem cell transplantation: a qualitative study.BMC health services research · 2026Article
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Abstract
Artificial intelligence and digital health technologies are reshaping oncology through increasingly personalized, predictive, and data-driven care. Among these innovations, medical Digital Twins - dynamic virtual software representations of individual patients - are emerging as tools for simulating disease trajectories, forecasting treatment responses, and supporting clinical decision-making. To date, most oncology focused Digital Twin research centers on tumor biology, imaging, genomics, radiotherapy optimization, and treatment response. Integrative Oncology requires a broader perspective. As a patient-centered field that emphasizes Whole Person Health across prevention, treatment, rehabilitation, survivorship, and long-term health promotion, Integrative Oncology depends on biological, behavioral, psychosocial, environmental, and lifestyle-related data that remain underrepresented in digital health infrastructures. This paper argues that Digital Twins could advance Whole Person Health in Integrative Oncology if they are designed to integrate not only disease- and treatment-related data but also key domains of Mind Body Medicine, including physical activity, diet, sleep, stress regulation, self-care, social and other relationships, living conditions, and personal preferences. Drawing on a SWOT analysis and a Whole Person Health Mind Body Medicine model, the paper identifies strengths and opportunities, including personalization, longitudinal monitoring, treatment coordination, and adaptive self-care support. It also highlights challenges related to data quality, interoperability, digital literacy, privacy, autonomy, equity, and reductionist interpretations of health. The central challenge is therefore not only technological but preparatory. Integrative Oncology must actively contribute to interoperable data standards, ethical governance, clinical validation, and interdisciplinary collaboration to ensure that future Digital Twins support, rather than marginalize, whole person, human-centered cancer care.
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