Reprint

Recent Advances in the Application of Mathematical and Computational Models in Biomedical Science and Engineering

Edited by
January 2024
188 pages
  • ISBN978-3-0365-9327-2 (Hardback)
  • ISBN978-3-0365-9326-5 (PDF)

This book is a reprint of the Special Issue Recent Advances in the Application of Mathematical and Computational Models in Biomedical Science and Engineering that was published in

Biology & Life Sciences
Engineering
Summary

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.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
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