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

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

Ajeet Kaushik  1 , Raju Khan  2 , Pratima Solanki  3 , Sonu Gandhi  4 , Hardik Gohel  5 , Yogendra K Mishra  6
Affiliations
Editorial

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

Ajeet Kaushik et al. Biosensors (Basel). .

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 Biosensors journal will honor and acknowledge the contributions of Prof. B.D. Malhotra, Ph.D., FNA, FNASc has made in the field of biosensors.

Keywords: POC diagnostics; green technology; intelligent health care; miniaturized systems; nano-biosensor; personalized health care; smart functional materials.

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Conflict of interest statement

Bansi D. Malhotra and all the editors declare no conflict of interest.

Figures

Figure 1
Figure 1
Illustration of a nano-enabled biosensing prototype for an efficient diagnostic. (A) Schematic presentation of a biosensing procedure involving selection and optimization of biomarkers, biorecognition molecules, nano-enabled biosensing substrates, and microelectronics; (B) Miniaturized electrode integrated with a miniaturized potentiostat; (C) Smartphone-enabled biosensing useful for POC applications; (D) Support of AI and IoMT for intelligent healthcare management.
See this image and copyright information in PMC

References

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