Enhancing clinical outcome predictions through effective sample size evaluation in graph-based digital twin modeling
Abstract Digital twins in healthcare offer an innovative approach to precision diagnosis, prognosis, and treatment. SynTwin, a novel computational methodology to generate digital twins using synthetic data and network science, has previously shown promise for improving prediction of breast cancer mo...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2025-04-01
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| Col·lecció: | BioData Mining |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s13040-025-00446-9 |
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