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Predicting treatment benefit in multiple myeloma through simulation of alternative treatment effects
Many cancer treatments are associated with serious side effects, while they often only benefit a subset of the patients. Therefore, there is an urgent clinical need for tools that can aid in selecting the right treatment at diagnosis. Here we introduce simulated treatment learning (STL), which enabl...
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| Pubblicato in: | Nat Commun |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6063966/ https://ncbi.nlm.nih.gov/pubmed/30054467 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-018-05348-5 |
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