新一代生物技术诊断系统

Y. Sokol, Stanislav Lapta, K. Kolisnyk, O. Goncharova, O. Solovyova, Sergiy Koval, S. Lapta, I. Karachentsev, Nona Kravchun
{"title":"新一代生物技术诊断系统","authors":"Y. Sokol, Stanislav Lapta, K. Kolisnyk, O. Goncharova, O. Solovyova, Sergiy Koval, S. Lapta, I. Karachentsev, Nona Kravchun","doi":"10.1109/KhPIWeek51551.2020.9250170","DOIUrl":null,"url":null,"abstract":"The present article is the first of its kind to propose a diagnostic biotechnical system (BTS) of a new generation with a high-tech block of deep model processing of the clinical information based on the mathematical model that connects physiological data available for clinical measurement with internal characteristics of a human body that have direct diagnostic meaning. As an example of such a BTS, there is a proposed medical device for the early diagnostic of latent Diabetes mellitus type 2 (DM2) with a long latent period during which its late vascular and neurological complications are already developing. This article demonstrates the effectiveness of using the original mathematical model of the carbohydrate exchange regulation system to convert the clinical data of the simplest glucose tolerance test - the oral test (OGTT) - into the characteristics of the “hyperglycemic clamp”. This popular in highly developed countries method is recognized as the “gold standard” of diabetic research, albeit very difficult to carry out, complicated and unsafe for a patient. There was a single-compartmental structural and functional approach to the mathematical modeling of biosystems applied, which was based on the well-known experimental and clinical data, the most important of which were: the character of insulin-dependent glucose utilization and the glucose stimulation of insulin secretion by the pancreas.","PeriodicalId":115140,"journal":{"name":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Biotechnical Diagnostic System of New Generation\",\"authors\":\"Y. Sokol, Stanislav Lapta, K. Kolisnyk, O. Goncharova, O. Solovyova, Sergiy Koval, S. Lapta, I. Karachentsev, Nona Kravchun\",\"doi\":\"10.1109/KhPIWeek51551.2020.9250170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present article is the first of its kind to propose a diagnostic biotechnical system (BTS) of a new generation with a high-tech block of deep model processing of the clinical information based on the mathematical model that connects physiological data available for clinical measurement with internal characteristics of a human body that have direct diagnostic meaning. As an example of such a BTS, there is a proposed medical device for the early diagnostic of latent Diabetes mellitus type 2 (DM2) with a long latent period during which its late vascular and neurological complications are already developing. This article demonstrates the effectiveness of using the original mathematical model of the carbohydrate exchange regulation system to convert the clinical data of the simplest glucose tolerance test - the oral test (OGTT) - into the characteristics of the “hyperglycemic clamp”. This popular in highly developed countries method is recognized as the “gold standard” of diabetic research, albeit very difficult to carry out, complicated and unsafe for a patient. There was a single-compartmental structural and functional approach to the mathematical modeling of biosystems applied, which was based on the well-known experimental and clinical data, the most important of which were: the character of insulin-dependent glucose utilization and the glucose stimulation of insulin secretion by the pancreas.\",\"PeriodicalId\":115140,\"journal\":{\"name\":\"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)\",\"volume\":\"96 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KhPIWeek51551.2020.9250170\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE KhPI Week on Advanced Technology (KhPIWeek)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KhPIWeek51551.2020.9250170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文首次提出了一种基于数学模型的新一代诊断生物技术系统(BTS),该数学模型将可用于临床测量的生理数据与具有直接诊断意义的人体内部特征联系起来,该系统具有对临床信息进行深度模型处理的高科技块。作为此类BTS的一个例子,有一种拟议的医疗设备,用于早期诊断潜伏性2型糖尿病(DM2),其潜伏期很长,在此期间其晚期血管和神经系统并发症已经出现。本文论证了利用碳水化合物交换调节系统的原始数学模型,将最简单的糖耐量试验——口服试验(OGTT)的临床数据转化为“高血糖钳”特征的有效性。这种在高度发达国家流行的方法被认为是糖尿病研究的“金标准”,尽管实施起来非常困难、复杂且对患者不安全。基于众所周知的实验和临床数据,其中最重要的是:胰岛素依赖型葡萄糖利用的特征和胰腺对胰岛素分泌的葡萄糖刺激,有一种单室结构和功能方法来应用生物系统的数学建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biotechnical Diagnostic System of New Generation
The present article is the first of its kind to propose a diagnostic biotechnical system (BTS) of a new generation with a high-tech block of deep model processing of the clinical information based on the mathematical model that connects physiological data available for clinical measurement with internal characteristics of a human body that have direct diagnostic meaning. As an example of such a BTS, there is a proposed medical device for the early diagnostic of latent Diabetes mellitus type 2 (DM2) with a long latent period during which its late vascular and neurological complications are already developing. This article demonstrates the effectiveness of using the original mathematical model of the carbohydrate exchange regulation system to convert the clinical data of the simplest glucose tolerance test - the oral test (OGTT) - into the characteristics of the “hyperglycemic clamp”. This popular in highly developed countries method is recognized as the “gold standard” of diabetic research, albeit very difficult to carry out, complicated and unsafe for a patient. There was a single-compartmental structural and functional approach to the mathematical modeling of biosystems applied, which was based on the well-known experimental and clinical data, the most important of which were: the character of insulin-dependent glucose utilization and the glucose stimulation of insulin secretion by the pancreas.
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