Cited by 219Artificial Intelligence in Healthcare and EducationMathematical Biology Tumor GrowthAI in cancer detection

Digital twins for predictive oncology will be a paradigm shift for precision cancer care

Open access
Hernandez-Boussard, Tina, Macklin, Paul, Greenspan, Emily J., Gryshuk, Amy L., Stahlberg, Eric, Syeda-Mahmood, Tanveer, Shmulevich, Ilya·2021·Nature Medicine

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Crossref · 10.1038/s41591-021-01558-5

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  • Integrating data from multiple sources to develop digital twin models using AI tools has already been proposed in precision oncology and cardiovascular health.

    “Integrating data from multiple sources to develop digital twin models using AI tools has already been proposed in precision oncology and cardiovascular health 67,68 .”

    From Multimodal biomedical AI (2022) · cites this paper as [67]

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  1. [8]Corbett-Davies S, Goel S. The measure and mismeasure of fairness: A critical review of fair machine learning. arXiv preprint arXiv:180800023. 2018;

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Authors
Hernandez-Boussard, T., Macklin, P., Greenspan, E. J., Gryshuk, A. L., Stahlberg, E., Syeda-Mahmood, T., & Shmulevich, I.
Affiliations
  • Indiana University (US)
  • National Cancer Institute (US)
  • Lawrence Livermore National Laboratory (US)
  • Frederick National Laboratory for Cancer Research (US)
  • IBM Research - Almaden (US)
Venue
Nature Medicine
Published
2021-11-25
Volume
27
Issue
12
Pages
2065-2066
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
OpenAlex
W3215822628
Cited by
219
References
9
Citations by year
2026: 43 · 2025: 67 · 2024: 49 · 2023: 37 · 2022: 22 · 2020: 1
FWCI
7.87
Type
journal article
Language
en
Open access
Locations
  • Nature Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
U.S. Department of Health & Human Services | NIH | National Cancer Institute (R01CA183962)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
Keywords
digital twin, predictive oncology, cancer modeling, high-performance computing, artificial intelligence in oncology, computational oncology
MeSH terms
Computer Simulation, Humans, Medical Oncology, Neoplasms, Precision Medicine

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