Advanced Bioscience and Biosystems for Detection and Management of Diabetes

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Synopsis

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

Book details

Edition:
1st ed. 2022
Series:
Springer Series on Bio- and Neurosystems (Book 13)
Author:
Kishor Kumar Sadasivuni, John-John Cabibihan, Abdulaziz Khalid A M Al-Ali, Rayaz A. Malik
ISBN:
9783030997281
Related ISBNs:
9783030997274
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2022-08-30
Usage restrictions:
Copyright
Copyright date:
2022
Copyright by:
The Editor 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Medicine, Nonfiction, Science, Technology