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从纳米系统到高效诊断的生物传感原型:纪念班希·D·马洛尔特拉教授特刊。

From Nanosystems to a Biosensing Prototype for an Efficient Diagnostic: A Special Issue in Honor of Professor Bansi D. Malhotra.

机构信息

NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, FL 33805, USA.

CSIR-Advanced Materials & Processes Research Institute (AMPRI), Bhopal 462026, India.

出版信息

Biosensors (Basel). 2021 Sep 29;11(10):359. doi: 10.3390/bios11100359.

Abstract

It has been proven that rapid bioinformatics analysis according to patient health profiles, in addition to biomarker detection at a low level, is emerging as essential to design an analytical diagnostics system to manage health intelligently in a personalized manner. Such objectives need an optimized combination of a nano-enabled sensing prototype, artificial intelligence (AI)-supported predictive analysis, and Internet of Medical Things (IoMT)-based bioinformatics analysis. Such a developed system began with a prototype demonstration of efficient diseases diagnostics performance is the future diseases management approach. To explore these aspects, the Special Issue planned for the nano-and micro-technology section of MDPI's journal will honor and acknowledge the contributions of Prof. B.D. Malhotra, Ph.D., FNA, FNASc has made in the field of biosensors.

摘要

已经证明,根据患者健康档案进行快速生物信息学分析,以及低水平的生物标志物检测,正在成为以个性化方式智能管理健康的分析诊断系统设计的关键。这些目标需要纳米感应原型、人工智能(AI)支持的预测分析以及基于物联网(IoMT)的生物信息学分析的优化组合。这样一个开发系统始于高效疾病诊断性能的原型演示,是未来的疾病管理方法。为了探索这些方面,计划在 MDPI 期刊的纳米和微技术部分出版的特刊将表彰 B.D. Malhotra 博士教授在生物传感器领域的贡献。他是 FNA 和 FNASc 院士。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a39f/8533924/def9c33f8692/biosensors-11-00359-g001.jpg

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