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Titlebook: Mathematical Models and Computer Simulations for Biomedical Applications; Gabriella Bretti,Roberto Natalini,Luigi Preziosi Conference proc

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發(fā)表于 2025-3-21 19:28:56 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mathematical Models and Computer Simulations for Biomedical Applications
編輯Gabriella Bretti,Roberto Natalini,Luigi Preziosi
視頻videohttp://file.papertrans.cn/627/626417/626417.mp4
概述It contains high quality articles in the framework of multiscale modelling including lab-on-chip framework.It includes models of classification and tumour growth in patient-specific framework.The pres
叢書名稱SEMA SIMAI Springer Series
圖書封面Titlebook: Mathematical Models and Computer Simulations for Biomedical Applications;  Gabriella Bretti,Roberto Natalini,Luigi Preziosi Conference proc
描述Mathematical modelling and computer simulations are playing a crucial role in the solution of the complex problems arising in the field of biomedical sciences and provide a support to clinical and experimental practices in an interdisciplinary framework..Indeed, the development of mathematical models and efficient numerical simulation tools is of key importance when dealing with such applications..Moreover, since the parameters in biomedical models have peculiar scientific interpretations and their values are often unknown, accurate estimation techniques need to be developed for parameter identification against the measured data of observed phenomena. In the light of the new challenges brought by the biomedical applications, computational mathematics paves the way for the validation of the mathematical models and the investigation of control problems..The volume hosts high-quality selected contributions containing original research results as well as comprehensive papers and survey articles including prospective discussion focusing on some topical biomedical problems. It is addressed, but not limited to: research institutes, academia, and pharmaceutical industries..
出版日期Conference proceedings 2023
關(guān)鍵詞Multifractal Spectrum Based Classification for Breast Cancer; In-Silico Modelling of in Lab-on-Chip E
版次1
doihttps://doi.org/10.1007/978-3-031-35715-2
isbn_softcover978-3-031-35717-6
isbn_ebook978-3-031-35715-2Series ISSN 2199-3041 Series E-ISSN 2199-305X
issn_series 2199-3041
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 20:53:49 | 只看該作者
Gabriella Bretti,Roberto Natalini,Luigi PreziosiIt contains high quality articles in the framework of multiscale modelling including lab-on-chip framework.It includes models of classification and tumour growth in patient-specific framework.The pres
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發(fā)表于 2025-3-22 00:35:00 | 只看該作者
SEMA SIMAI Springer Serieshttp://image.papertrans.cn/m/image/626417.jpg
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Mathematical Models and Computer Simulations for Biomedical Applications978-3-031-35715-2Series ISSN 2199-3041 Series E-ISSN 2199-305X
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發(fā)表于 2025-3-22 16:58:03 | 只看該作者
A Particle Model to Reproduce Collective Migration and Aggregation of Cells with Different Phenotyptions are then provided in a perspective of analysis of critical model ingredients and parameters. The proposed approach is finally applied to reproduce selected aspects of a wound healing scenario. Some hints for its improvement are given in the last part of the chapter.
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Advanced Models for COVID-19 Variant Dynamics and Pandemic Waves,llow for viral mutation. We see that variants dynamics in such a model is enough to both elicit the characteristic waves in cases, and estimate when they appear over a time horizon. This study pave the way to the use of epidemiological models with variants dynamics for accurate predictions and to guide interventions.
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發(fā)表于 2025-3-23 01:50:45 | 只看該作者
2199-3041 ion and tumour growth in patient-specific framework.The presMathematical modelling and computer simulations are playing a crucial role in the solution of the complex problems arising in the field of biomedical sciences and provide a support to clinical and experimental practices in an interdisciplin
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