Computational Bioengineering and Bioinformatics, 1st ed. 2020 Computer Modelling in Bioengineering Learning and Analytics in Intelligent Systems Series, Vol. 11
Coordonnateur : Filipovic Nenad
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
Date de parution : 03-2021
Ouvrage de 169 p.
15.5x23.5 cm
Date de parution : 03-2020
Ouvrage de 169 p.
15.5x23.5 cm
Thème de Computational Bioengineering and Bioinformatics :
Mots-clés :
Biomechanics; Cardiovascular Engineering; Patient Specific Modelling; Population Based Modelling; Multiscale Modelling; Molecular Dynamics; Dissipative Particle Dynamics; Data Mining Application in Medicine; Neural Engineering; Biomedical Decision Support System; Gene Expression Analysis and Engineering; Signal Processing and Data Mining; Biomaterials and Dental Biomechanics; Nanomedicine; Tissue and Cell Engineering; Computational Chemistry; High Performance Computing; Sports Bioengineering; ICCB2019; ICCB