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PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers

机译：PRIMAGE项目：预测性计算机多尺度分析以支持由影像生物标志物赋予功能的儿童期癌症个性化评估

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摘要

PRIMAGE technological development

机译：主要技术发展

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期刊名称 European Radiology Experimental
作者
Luis Martí-Bonmatí; Ángel Alberich-Bayarri; Ruth Ladenstein; Ignacio Blanquer; J. Damian Segrelles; Leonor Cerdá-Alberich; Polyxeni Gkontra; Barbara Hero; J. M. García-Aznar; Daniel Keim; Wolfgang Jentner; Karine Seymour; Ana Jiménez-Pastor; Ismael González-Valverde; Blanca Martínez de las Heras; Samira Essiaf; Dawn Walker; Michel Rochette; Marian Bubak; Jordi Mestres; Marco Viceconti; Gracia Martí-Besa; Adela Cañete; Paul Richmond; Kenneth Y. Wertheim; Tomasz Gubala; Marek Kasztelnik; Jan Meizner; Piotr Nowakowski; Salvador Gilpérez; Amelia Suárez; Mario Aznar; Giuliana Restante; Emanuele Neri;
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年(卷),期 2020(4),-1
年度 2020
页码 -1
总页数 11
原文格式 PDF
正文语种
中图分类放射医学;影像诊断学;
关键词
Artificial intelligence; Biomarkers (tumour); Cloud computing; Diffuse intrinsic pontine glioma; Neuroblastoma;

机译：人工智能;生物标志物（肿瘤）;云计算;弥漫性桥脑神经胶质瘤;神经母细胞瘤;

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专利

1. Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images: Supplementary Issue: Biomarkers and their Essential Role in the Development of Personalised Therapies (A) [J] . Armin Eilaghi, Timothy Yeung, Christopher dEsterre, Biomarkers in Cancer . 2016,第1期

机译：层析CT和MR图像在脑癌中的定量灌注和渗透性生物标志物：补充问题：生物标志物及其在个性化疗法发展中的基本作用（A）
2. Evaluating the response of neoadjuvant chemotherapy for treatment of breast cancer: are tumor biomarkers and dynamic contrast enhanced MR images useful predictive tools? [J] . Zijing Zhang, Wei Zhang, Yiting Jin, Journal of Thoracic Disease . 2014,第6期

机译：评估新辅助化疗对乳腺癌的反应：肿瘤生物标志物和动态对比增强的MR图像是否有用的预测工具？
3. Predictive biomarkers for personalised anti-cancer drug use: discovery to clinical implementation. [J] . Alymani NA, Smith MD, Williams DJ, European journal of cancer: official journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR) . 2010,第5期

机译：个性化抗癌药物使用的预测性生物标志物：发现到临床实施。
4. Computational horizons in cancer (CHIC): Developing meta- and hyper-multiscale models and repositories for in Silico Oncology - A brief technical outline of the project [C] . Stamatakos G., Dionysiou Dimitra, Misichroni Fay, Proceedings of the 2014 6th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation - The TUMOR Project Workshop . 2014

机译：癌症的计算视野（CHIC）：开发计算机肿瘤学的元和超多尺度模型和存储库-项目的简要技术概述
5. The evaluation of Positron Emission Tomography imaging biomarkers for predicting and monitoring therapy responses in cancer. [D] . Safaei, Arash. 2007

机译：正电子发射断层扫描成像生物标记物的评估，用于预测和监测癌症的治疗反应。
6. Evaluating the response of neoadjuvant chemotherapy for treatment of breast cancer: are tumor biomarkers and dynamic contrast enhanced MR images useful predictive tools? [O] . Zijing Zhang, Wei Zhang, Yiting Jin, 2014

机译：评价新辅助化疗对乳腺癌的反应：肿瘤生物标志物和动态对比增强的MR图像是否有用的预测工具？
7. PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers [O] . Luis Martí-Bonmatí, Ángel Alberich-Bayarri, Ruth Ladenstein, 2020

机译：Primage项目：在Silico MultiScale分析中预测，以支持儿童癌症的个性化评估通过成像生物标志物赋予

PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers

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