急性心肌梗死后心肌肌钙蛋白释放的预测数学模型

A. Procopio, Mariaconcetta Bilotta, A. Merola, F. Amato, C. Cosentino, S. Rosa, C. Covello, J. Sabatino, A. D. Luca, C. Indolfi
{"title":"急性心肌梗死后心肌肌钙蛋白释放的预测数学模型","authors":"A. Procopio, Mariaconcetta Bilotta, A. Merola, F. Amato, C. Cosentino, S. Rosa, C. Covello, J. Sabatino, A. D. Luca, C. Indolfi","doi":"10.1109/ICNSC.2017.8000166","DOIUrl":null,"url":null,"abstract":"The present work proposes a novel model of the release in the blood of cardiac troponin T (cTnT), a biomarker of acute myocardial infarction. Starting from the underpinning mechanisms at the molecular and cellular level, and leveraging a clinical experimental dataset, we have devised a mathematical model that is able to capture the characteristic features of the release curve of cTnT. The model aims at providing the clinicians with an effective tool to evaluate the type and extent of cardiac damage and specific clinical parameters that can be used to improve the diagnosis and treatment planning phases.","PeriodicalId":145129,"journal":{"name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Predictive mathematical model of cardiac troponin release following acute myocardial infarction\",\"authors\":\"A. Procopio, Mariaconcetta Bilotta, A. Merola, F. Amato, C. Cosentino, S. Rosa, C. Covello, J. Sabatino, A. D. Luca, C. Indolfi\",\"doi\":\"10.1109/ICNSC.2017.8000166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present work proposes a novel model of the release in the blood of cardiac troponin T (cTnT), a biomarker of acute myocardial infarction. Starting from the underpinning mechanisms at the molecular and cellular level, and leveraging a clinical experimental dataset, we have devised a mathematical model that is able to capture the characteristic features of the release curve of cTnT. The model aims at providing the clinicians with an effective tool to evaluate the type and extent of cardiac damage and specific clinical parameters that can be used to improve the diagnosis and treatment planning phases.\",\"PeriodicalId\":145129,\"journal\":{\"name\":\"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNSC.2017.8000166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNSC.2017.8000166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

目前的工作提出了一种新的模型在血液中释放心肌肌钙蛋白T (cTnT),急性心肌梗死的生物标志物。从分子和细胞水平的基础机制出发,利用临床实验数据集,我们设计了一个能够捕捉cTnT释放曲线特征的数学模型。该模型旨在为临床医生提供一个有效的工具来评估心脏损伤的类型和程度,以及可用于改进诊断和治疗计划阶段的具体临床参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive mathematical model of cardiac troponin release following acute myocardial infarction
The present work proposes a novel model of the release in the blood of cardiac troponin T (cTnT), a biomarker of acute myocardial infarction. Starting from the underpinning mechanisms at the molecular and cellular level, and leveraging a clinical experimental dataset, we have devised a mathematical model that is able to capture the characteristic features of the release curve of cTnT. The model aims at providing the clinicians with an effective tool to evaluate the type and extent of cardiac damage and specific clinical parameters that can be used to improve the diagnosis and treatment planning phases.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信