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020			_a9783030989279
024	7		_a10.1007/978-3-030-98927-9 _2doi
040			_aTR-AnTOB _beng _cTR-AnTOB _erda
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245	1	0	_aPrecision Medicine in Diabetes _h[electronic resource] : _bA Multidisciplinary Approach to an Emerging Paradigm / _cedited by Rita Basu.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPrecision 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.
520			_aBringing 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. .
650		0	_aEndocrinology.
650	1	4	_aEndocrinology.
653		0	_aDiabetes Mellitus
653		0	_aPrecision Medicine
700	1		_aBasu, Rita. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
856	4	0	_uhttps://doi.org/10.1007/978-3-030-98927-9 _3Springer eBooks _zOnline access link to the resource
942			_2NLM _cEBK
041			_aeng