Advanced Bioscience and Biosystems for Detection and Management of Diabetes (1st ed. 2022)

This book covers the medical condition of diabetic patients, their early symptoms and methods conventionally used for diagnosing and monitoring diabetes. It describes various techniques and technologies used for diabetes detection. The content is built upon moving from regressive technology (invasive) and adapting new-age pain-free technologies (non-invasive), machine learning and artificial intelligence for diabetes monitoring and management. This book details all the popular technologies used in the health care and medical fields for diabetic patients. An entire chapter is dedicated to how the future of this field will be shaping up and the challenges remaining to be conquered. Finally, it shows artificial intelligence and predictions, which can be beneficial for the early detection, dose monitoring and surveillance for patients suffering from diabetes

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Series on Bio- and Neurosystems, 13
Release date:	July 2023
First published:	2022
Editors:	Kishor Kumar Sadasivuni • John-John Cabibihan • Abdulaziz Khalid A M Al-Ali • Rayaz A. Malik
Dimensions:	235 x 155mm (L x W)
Pages:	313
Edition:	1st ed. 2022
ISBN-13:	978-3-03-099730-4
Categories:	Books
LSN:	3-03-099730-8
Barcode:	9783030997304

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