Advanced Bioscience and Biosystems for Detection and Management of Diabetes (Hardcover, 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

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Product Description

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

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Springer Series on Bio- and Neurosystems, 13

Release date

July 2022

Availability

Expected to ship within 12 - 17 working days

Editors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

313

Edition

1st ed. 2022

ISBN-13

978-3-03-099727-4

Barcode

9783030997274

Categories

LSN

3-03-099727-8



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