Result: Recent Advances in the Application of Mathematical and Computational Models in Biomedical Science and Engineering
Title:
Recent Advances in the Application of Mathematical and Computational Models in Biomedical Science and Engineering
Contributors:
Singh, Sundeep, Melnik, Roderick, Pueyo, Esther
Publisher Information:
MDPI - Multidisciplinary Digital Publishing Institute, 2024.
Publication Year:
2024
Subject Terms:
peristaltic flow, non-zero Reynolds number, asymmetric channel, finite element method, porous media, design of experiments, holistic experimental design, integrated process model, optimal designs, process characterization, biopharmaceutical process validation, bioconvection flow, viscoelastic micropolar fluid, heat transfer, double diffusion, variable thermal conductivity, main protease (Mpro), structure-based virtual screening, ZINC, in-house, ChemBridge database, molecular dynamics simulation, big data, data security, knight tour, steganography, wavelet transform, lossless compression, CT scan images, chest X-ray, transfer learning, COVID-19 detection, deep learning, surface electromyography (EMG), motor unit, spatial distribution, EMG-force relation, biceps brachii, bio-heat transfer, light-tissue interaction, photothermal effect, acupuncture, acupoints, thermal therapy, computational modeling, SARS-CoV-2 prediction, feature selection, stochastic regression, neighbor embedding, sammon mapping, machine learning, pharmacokinetics, compartmental models, closed loop control, repeated drug administration, robust control, Technology: general issues
Document Type:
eBook
eBook
File Description:
application/octet-stream
Language:
English
ISBN:
978-3-0365-9327-2
978-3-0365-9326-5
978-3-0365-9326-5
DOI:
10.3390/books978-3-0365-9326-5
Access URL:
Rights:
Attribution-NonCommercial-NoDerivatives 4.0 International
open access
URL: http://purl.org/coar/access_right/c_abf2
URL: https://creativecommons.org/licenses/by-nc-nd/4.0/
open access
URL: http://purl.org/coar/access_right/c_abf2
URL: https://creativecommons.org/licenses/by-nc-nd/4.0/
Notes:
ONIX_20240514_9783036593272_64
Accession Number:
edsdob.20.500.12854.137462
Database:
Directory of Open Access Books
Further Information
This reprint highlights novel findings of state-of-the-art computational models based on multiscale, multiphysics, data-driven, artificial intelligence, and machine learning approaches in the field of bioengineering. Ten individual contributions from renowned research groups across the world have been published in this Special Issue.