The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Digital twins to personalize medicine
Open accessAbstract
Personalized medicine requires the integration and processing of vast amounts of data. Here, we propose a solution to this challenge that is based on constructing Digital Twins. These are high-resolution models of individual patients that are computationally treated with thousands of drugs to find the drug that is optimal for the patient.
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“In healthcare, digital twins are a promising tool for drug target discovery 65,66 .”
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“This will likely require large collaborations across health systems, research groups and industry, such as the Swedish Digital Twins Consortium 65,72 .”
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Network medicine: a network-based approach to human disease
Barabási, A.-L., Gulbahce, N., & Loscalzo, J. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2918 · Cited by 5,034
Intra- and Inter-cellular Rewiring of the Human Colon during Ulcerative Colitis
Smillie, C. S., Biton, M., Ordovás-Montañés, J., Sullivan, K. M., Burgin, G., Graham, D. B., Herbst, R. H., Rogel, N., Slyper, M., Waldman, J., et al. (2019) · Cell · doi:10.1016/j.cell.2019.06.029 · Cited by 1,417
Deep learning: new computational modelling techniques for genomics
Eraslan, G., Avsec, Ž., Gagneur, J., & Theis, F. J. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0122-6 · Cited by 1,288
Tao, F., & Qi, Q. (2019) · Nature · doi:10.1038/d41586-019-02849-1 · Cited by 799
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Zhou, X., Menche, J., Barabási, A.-Ĺ., & Sharma, A. (2014) · Nature Communications · doi:10.1038/ncomms5212 · Cited by 659
Single-cell analyses to tailor treatments
Shalek, A. K., & Benson, M. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aan4730 · Cited by 163
Self-citationA decade of digital medicine innovation
Topol, E. J. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aaw7610 · Cited by 117
Gawel, D. R., Serra-Musach, J., Lilja, S., Aagesen, J., Arenas, À., Asking, B., Bengnér, M., Björkander, J., Biggs, S., Ernerudh, J., et al. (2019) · Genome Medicine · doi:10.1186/s13073-019-0657-3 · Cited by 95
Self-citationGustafsson, M., Gawel, D. R., Alfredsson, L. S., Baranzini, S. E., Björkander, J., Blomgran, R., Hellberg, S., Eklund, D., Ernerudh, J., Kockum, I. S., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aad2722 · Cited by 67
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Research works printed but not linked: 1
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Acosta, J. N., Falcone, G. J., Rajpurkar, P., & Topol, E. J. (2022) · Nature Medicine · doi:10.1038/s41591-022-01981-2 · Cited by 1,365
Digital twins for health: a scoping review
Katsoulakis, E., Wang, Q., Wu, H., Shahriyari, L., Fletcher, R., Liu, J., Achenie, L. E. K., Liu, H., Jackson, P., Xiao, Y., et al. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01073-0 · Cited by 848
Rathore, M. M., Shah, S. A., Shukla, D., Bentafat, E., & Bakiras, S. (2021) · IEEE Access · doi:10.1109/access.2021.3060863 · Cited by 616
How Machine Learning Will Transform Biomedicine
Goecks, J., Jalili, V., Heiser, L. M., & Gray, J. W. (2020) · Cell · doi:10.1016/j.cell.2020.03.022 · Cited by 604
The next generation of evidence-based medicine
Subbiah, V. (2023) · Nature Medicine · doi:10.1038/s41591-022-02160-z · Cited by 606
Metadata
- Authors
- on behalf of the Swedish Digital Twin Consortium, Björnsson, B., Borrebaeck, C., Elander, N., Gasslander, T., Gawel, D. R., Gustafsson, M., Jörnsten, R., Lee, E. J., Li, X., Lilja, S., Martínez-Enguita, D., Matussek, A., Sandström, P., Schäfer, S., Stenmarker, M., Sun, X. F., Sysoev, O., Zhang, H., & Benson, M.
- Affiliations
- Lund University (SE)
- Linköping University (SE)
- Chalmers University of Technology (SE)
- Karolinska University Hospital (SE)
- Futurum - Akademin för Hälsa och Vård (SE)
- Corresponding author
- Benson, Mikael
- ORCID
- Venue
- Genome Medicine
- Published
- 2019-12-31
- Volume
- 12
- Issue
- 1
- Pages
- 4-4
- ISSN
- 1756-994X (ISSN-L)
- PMC
- PMC6938608
- OpenAlex
- W2999365564
- Cited by
- 566
- References
- 9
- Citations by year
- 2026: 143 · 2025: 126 · 2024: 103 · 2023: 79 · 2022: 66 · 2021: 37 · 2020: 12
- FWCI
- 19.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Genome Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DiVA (Linkoping University) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Lund University Publications (Lund University) (submittedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Funders
- Swedish Cancer Foundation
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Keywords
- digital twin, personalized medicine, patient modeling, drug repurposing, computational drug screening, precision medicine, data integration
- MeSH terms
- Disease, Humans, Databases, Factual, Neural Networks, Computer, Precision Medicine
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