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This book explores the latest and most relevant topics in the field of computational bioengineering and bioinformatics, with a particular focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for disease characterization, and recent advances in areas such as biomechanics, cardiovascular engineering, patient-specific modeling, population-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and dental biomechanics, tissue and cell engineering, computational chemistry and high-performance computing. As such, it is a valuable resource for researchers, medical and bioengineering students, and medical device and software experts
Produkteigenschaften
- Artikelnummer: 9783030436575
- Medium: Buch
- ISBN: 978-3-030-43657-5
- Verlag: Springer International Publishing
- Erscheinungstermin: 12.03.2020
- Sprache(n): Englisch
- Auflage: 1. Auflage 2020
- Serie: Learning and Analytics in Intelligent Systems
- Produktform: Gebunden
- Gewicht: 436 g
- Seiten: 169
- Format (B x H x T): 160 x 241 x 16 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Technische Wissenschaften
- Sonstige Technologien | Angewandte Technik
- Medizintechnik, Biomedizintechnik
- Technische Wissenschaften
- Sonstige Technologien | Angewandte Technik
- Medizintechnik, Biomedizintechnik
- Medizin | Veterinärmedizin
- Medizin | Public Health | Pharmazie | Zahnmedizin
- Medizin, Gesundheitswesen
- Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe