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Precision medicine in diabetesa multidisciplinary approach to an emerging paradigm /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Precision medicine in diabetesedited by Rita Basu.
其他題名:	a multidisciplinary approach to an emerging paradigm /
其他作者:	Basu, Rita.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xix, 330 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	DiabetesTreatment.
電子資源:	https://doi.org/10.1007/978-3-030-98927-9
ISBN:	9783030989279$q(electronic bk.)

Precision medicine in diabetesa multidisciplinary approach to an emerging paradigm /
Precision medicine in diabetesa multidisciplinary approach to an emerging paradigm /[electronic resource] :edited by Rita Basu. - Cham :Springer International Publishing :2022. - xix, 330 p. :ill. (chiefly col.), digital ;24 cm.

Precision Medicine Approaches for Management of type 2 Diabetes -- Precision Medicine for Diabetes and Cardiovascular Disease -- Precision Medicine for Diabetes and Dyslipidemia -- Imaging in Precision Medicine for Diabetes -- Implementation of Precision Genetic Approaches for Type 1 and 2 Diabetes -- Precision Genetics for Monogenic Diabetes -- Precision Medicine for Diabetic Nephropathy -- Precision Medicine for Diabetic Neuropathy -- Inpatient Precision Medicine for Diabetes -- Medical Management for Precision Diabetes Remission -- Surgical Management for Precision Diabetes Remission -- Precision Nutrition for Type 2 Diabetes -- Precision Exercise and Physical Activity for Diabetes -- Diabetes Technology for Precision Therapy in Children, Adults and Pregnancy -- Adaptive and Individualized Artificial Pancreas for Precision Management of Type 1 Diabetes -- Evolving Approaches to Type 1 Diabetes Management.

Bringing clarity to the emerging model of precision medicine within the diabetes field, and expanding upon how it will lead to the development of specifically tailored treatment for patients and even macro strategies in public health, this unique book explores the realm of biomarkers in the era of big data. Various experts in their respective areas discuss the current practice to illuminate how creating a more discreet profile of patients and even substratum of populations will lead to more refined therapies targeted towards the phenotype and genotype of the patient. Embracing a multidisciplinary team science approach, this book demonstrates how precision medicine in diabetes can mine a web of data toward diabetes risk stratification and treatment options. The authors skillfully articulate how the construction of various prediction-based models can revolutionize clinical decision-making, and they examine the challenges and pitfalls of integrating disparate sources of information and how the collection of data and cooperation among stakeholders will be key to the future of precision medicine in diabetes treatment. Topics include personalized approaches to the management of both type 1 and type 2 diabetes, various macro and microvascular complications of diabetes, inpatient management of glycemia, nutrition, exercise, advances in diabetes technology and others. Ideal for clinical endocrinologists and other professionals involved in the management of diabetes and its complications, Precision Medicine in Diabetes is first of its kind to address this paradigm-shifting topic in a comprehensive way.

ISBN: 9783030989279$q(electronic bk.)

Standard No.: 10.1007/978-3-030-98927-9doiSubjects--Topical Terms:

276740
Diabetes
--Treatment.

LC Class. No.: RC660 / .P74 2022

Dewey Class. No.: 616.46206

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520 $a Bringing clarity to the emerging model of precision medicine within the diabetes field, and expanding upon how it will lead to the development of specifically tailored treatment for patients and even macro strategies in public health, this unique book explores the realm of biomarkers in the era of big data. Various experts in their respective areas discuss the current practice to illuminate how creating a more discreet profile of patients and even substratum of populations will lead to more refined therapies targeted towards the phenotype and genotype of the patient. Embracing a multidisciplinary team science approach, this book demonstrates how precision medicine in diabetes can mine a web of data toward diabetes risk stratification and treatment options. The authors skillfully articulate how the construction of various prediction-based models can revolutionize clinical decision-making, and they examine the challenges and pitfalls of integrating disparate sources of information and how the collection of data and cooperation among stakeholders will be key to the future of precision medicine in diabetes treatment. Topics include personalized approaches to the management of both type 1 and type 2 diabetes, various macro and microvascular complications of diabetes, inpatient management of glycemia, nutrition, exercise, advances in diabetes technology and others. Ideal for clinical endocrinologists and other professionals involved in the management of diabetes and its complications, Precision Medicine in Diabetes is first of its kind to address this paradigm-shifting topic in a comprehensive way.
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