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Predicting the efficiency of chidamide in patients with angioimmunoblastic T-cell lymphoma using machine learning algorithm

BackgroundChidamide is subtype-selective histone deacetylase (HDAC) inhibitor that showed promising result in clinical trials to improve prognosis of angioimmunoblastic T-cell lymphoma (AITL) patients. However, in real world settings, contradictory reports existed as to whether chidamide improve ove...

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Principais autores: Chunlan Zhang, Juan Xu, Mingyu Gu, Yun Tang, Wenjiao Tang, Jie Wang, Qinyu Liu, Yunfan Yang, Xushu Zhong, Caigang Xu
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2024-08-01
Serier:Frontiers in Pharmacology
Fag:
machine learning
chidamide
prognosis
angioimmunoblastic T-cell lymphoma
biomarker
Online adgang:https://www.frontiersin.org/articles/10.3389/fphar.2024.1435284/full
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