Dose‐dependent mathematical modeling of interferon‐α‐treatment for personalized treatment of myeloproliferative neoplasms

Abstract Long‐term treatment with interferon‐alfa (IFN) can reduce the disease burden of patients diagnosed with myeloproliferative neoplasms (MPNs). Determining individual patient responses to IFN therapy may allow for efficient personalized treatment, reducing both drop‐out and disease burden. A m...

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Главные авторы:	Rasmus K. Pedersen, Morten Andersen, Trine A. Knudsen, Vibe Skov, Lasse Kjær, Hans C. Hasselbalch, Johnny T. Ottesen
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Wiley 2021-12-01
Серии:	Computational and Systems Oncology
Предметы:	interferon mathematical modeling myeloproliferative neoplasms personalized treatment
Online-ссылка:	https://doi.org/10.1002/cso2.1030
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