Intelligent Biosensors for Healthcare 5.0

Lihang Zhu, Jucheng Zhang, Haipeng Liu, Yonghua Chu

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)
17 Downloads (Pure)

Abstract

Increasing demands for smart health management driven by aging population and chronic diseases are transforming traditional healthcare delivery into intelligent and personalized ones. However, some critical issues still exist in the development of intelligent biosensors towards the new era of healthcare 5.0, such as the design and fabrication of highly integrated biosensing devices, the exploitation of artificial intelligence (AI) and internet of things (IoT), the complete realization of smart disease control and health management, etc. Recent advances have explored the feasibility of miniaturized and portable biosensing device for household diagnostics, whereas the integration of IoT and AI is an unmet challenge. Hence, this chapter summarizes promising on-going efforts with emphasis on two domains: electrochemistry and spectroscopy. State-of-the-art intelligent biosensors are presented and insights in prospective exploration directions are discussed in the context of Healthcare 5.0.
Original languageEnglish
Title of host publicationFederated Learning and AI for Healthcare 5.0
EditorsAhdi Hassan, Vivek Kumar Prasad, Pronaya Bhattacharya, Pushan Dutta, Robertas Damaševičius
PublisherIGI Global
Chapter4
Pages61-77
Number of pages17
ISBN (Electronic)9798369310830
ISBN (Print)9798369310823
DOIs
Publication statusPublished - 18 Dec 2023

Publication series

NameAdvances in Healthcare Information Systems and Administration
PublisherIGI Global
ISSN (Print)2328-1243

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