@inbook{9ac036c5000a4e99bf5867b4547ff2d3,
title = "Intelligent Biosensors for Healthcare 5.0",
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.",
author = "Lihang Zhu and Jucheng Zhang and Haipeng Liu and Yonghua Chu",
year = "2023",
month = dec,
day = "18",
doi = "10.4018/979-8-3693-1082-3.ch004",
language = "English",
isbn = "9798369310823",
series = "Advances in Healthcare Information Systems and Administration",
publisher = "IGI Global",
pages = "61--77",
editor = "Hassan, \{Ahdi \} and Prasad, \{Vivek Kumar \} and Bhattacharya, \{Pronaya \} and Dutta, \{Pushan \} and Dama{\v s}evi{\v c}ius, \{Robertas \}",
booktitle = "Federated Learning and AI for Healthcare 5.0",
address = "United States",
}