Digital twins to personalize medicine
Linköping University · Lund University · +9 more institutions
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Abstract
Abstract 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.
Citation impact
478
total citations
- FWCI
- 10.42
- Percentile
- 100%
- References
- 9
Citations per year
Authors
19Topics & keywords
Topics
Keywords
- Human genetics
- Medicine
- Personalized medicine
- Computational biology
- Computer science
- Bioinformatics
- Biology
- Genetics
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