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From Nanosystems to a Biosensing Prototype for an Efficient Diagnostic: A Special Issue in Honor of Professor Bansi D. Malhotra.
Kaushik, Ajeet; Khan, Raju; Solanki, Pratima; Gandhi, Sonu; Gohel, Hardik; Mishra, Yogendra K.
  • Kaushik A; NanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, FL 33805, USA.
  • Khan R; CSIR-Advanced Materials & Processes Research Institute (AMPRI), Bhopal 462026, India.
  • Solanki P; Special Center for Nano Science, Jawaharlal Nehru University, New Delhi 110067, India.
  • Gandhi S; DBT-National Institute of Animal Biotechnology (NIAB), Hyderabad 500032, India.
  • Gohel H; Applied Artificial Intelligence Laboratory, University of Houston-Victoria, Victoria, TX 77901, USA.
  • Mishra YK; Smart Materials, NanoSYD, Mads Clausen Institute, University of Southern Denmark, Alsion 2, 6400 Sønderborg, Denmark.
Biosensors (Basel) ; 11(10)2021 Sep 29.
Article in English | MEDLINE | ID: covidwho-1480582
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Nanotechnology Type of study: Prognostic study Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Bios11100359

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Biosensing Techniques / Nanotechnology Type of study: Prognostic study Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: Bios11100359