Recent Advances in the Application of Mathematical and Computational Models in Biomedical Science and Engineering
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 be...
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| Format: | Online |
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| Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Online Access: | ONIX_20240514_9783036593272_64 |
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| collection | Directory of Open Access Books |
| description | 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 | Online |
| id | doab-20.500.12854ir-137462 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1374622024-05-14T13:09:40Z Recent Advances in the Application of Mathematical and Computational Models in Biomedical Science and Engineering Singh, Sundeep Melnik, Roderick Pueyo, Esther 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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. 2024-05-14T13:09:36Z 2024-05-14T13:09:36Z 2024 book ONIX_20240514_9783036593272_64 9783036593272 9783036593265 https://directory.doabooks.org/handle/20.500.12854/137462 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8617 https://mdpi.com/books/pdfview/book/8617 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9326-5 10.3390/books978-3-0365-9326-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036593272 9783036593265 188 open access |
| spellingShingle | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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 |
| title_full | Recent Advances in the Application of Mathematical and Computational Models in Biomedical Science and Engineering |
| title_fullStr | Recent Advances in the Application of Mathematical and Computational Models in Biomedical Science and Engineering |
| title_full_unstemmed | Recent Advances in the Application of Mathematical and Computational Models in Biomedical Science and Engineering |
| title_short | Recent Advances in the Application of Mathematical and Computational Models in Biomedical Science and Engineering |
| title_sort | recent advances in the application of mathematical and computational models in biomedical science and engineering |
| topic | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20240514_9783036593272_64 |