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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Detalles Bibliográficos
Autores principales: Ubels, Joske, Sonneveld, Pieter, van Beers, Erik H., Broijl, Annemiek, van Vliet, Martin H., de Ridder, Jeroen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063966/
https://www.ncbi.nlm.nih.gov/pubmed/30054467
http://dx.doi.org/10.1038/s41467-018-05348-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063966/
https://www.ncbi.nlm.nih.gov/pubmed/30054467
http://dx.doi.org/10.1038/s41467-018-05348-5

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