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008			221001s2022 sz | s |||| 0|eng d
020			_a9783030989279
024	7		_a10.1007/978-3-030-98927-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC660 _b2022 EB
245	0	0	_aPrecision Medicine in Diabetes : _ba Multidisciplinary Approach to an Emerging Paradigm _cedited by Rita Basu
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIX, 330 páginas) _b37 ilustraciones, 33 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
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.
988			_aSpringer_Medicine_2022
650		7	_2embne _9363411 _aDiabetes tipo 2 _xTratamiento
700	1		_aBasu, Rita _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030989262
776	0	8	_iPrinted edition: _z9783030989286
776	0	8	_iPrinted edition: _z9783030989293
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-98927-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b10/2022 _dz _eIG _zSI