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008			200511s2020 si a o |||| 0|eng d
020			_a9789811520631
024	7		_a10.1007/978-981-15-2063-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA164 _b2020 EB
245	0	0	_aAdvances in Bioengineering _cedited by Renu Vyas
250			_aFirst edition
264		1	_aSingapore _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XIII, 229 páginas) _b79 ilustraciones, 48 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aBiomedical and Life Sciences (Springer-11642)
505	0		_aChapter 1. Modeling of protein complexes involved in signaling pathway for Non-Small Cell Lung Cancer -- Chapter 2. Role of BioJava in the Department of Bioinformatics Tools -- Chapter 3. Overview of machine learning methods in ADHD prediction -- Chapter 4. Simplified Protein Structure Prediction Using Parallel Genetic Algorithms -- Chapter 5. Applications of deep learning in drug discovery -- Chapter 6. Big Data Analytics for Handling NGS Data & its Applications in Identifying Cancer Mutations -- Chapter 7. Medicinal Properties of Fruit waste -- Chapter 8. Epigenetic toxicity of nanoparticles -- Chapter 9. Protein Misfolding and Aggregation in Neurodegenerative diseases -- Chapter 10. Enzyme technology prospectus & their Biomedical Applications -- Chapter 11. Polyunsaturated fatty acids enhance the recovery of bone marrow impairment caused after radiation -- Chapter 12. Nanomaterial Enabled Rapid Electrochemical Biosensors For Bacterial Pathogens -- Chapter 13. Heart Rate Variability Analysis in lung cancer patients to study the effect of treatment -- Chapter 14. Co-Relation of Physiological Signals And Therapy for Diagnostics Purpose of Periodic Limb Movement Disorder (Plmd) -- Chapter 15. Analysis of Forward Head Posture -- Chapter 16. Biopolymeric Smart Nano-Carriers for Drug Delivery Applications.
520	3		_aThis book provides a single source of information on three major bioengineering areas: engineering at the cellular and molecular level; biomedical devices / instrument engineering; and data engineering. It explores the latest strategies that are essential to advancing our understanding of the mechanisms of human diseases, the development of new enzyme-based technologies, diagnostics, prosthetics, high-performance computing platforms for managing huge amounts of biological data, and the use of deep learning methods to create predictive models. The book also highlights the growing importance of integrating chemistry into life sciences research, most notably concerning the development and evaluation of nanomaterials and nanoparticles and their interactions with biological material. The underlying interdisciplinary theme of bioengineering is addressed in a range of multifaceted applications and worked out examples provided in each chapter.
988			_aSpringer_Biomedlife_23062020
650		7	_aBioingeniería _2embne _9139084
700	1		_aVyas, Renu _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/316029414
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729
776	0	8	_iPrinted edition: _z9789811520624
776	0	8	_iPrinted edition: _z9789811520648
776	0	8	_iPrinted edition: _z9789811520655
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-2063-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2020 _dz _eo _zSI