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Titlebook: Complex Systems and Computational Biology Approaches to Acute Inflammation; A Framework for Mode Yoram Vodovotz,Gary An Book 2021Latest edi

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發(fā)表于 2025-3-25 06:17:10 | 只看該作者
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發(fā)表于 2025-3-25 09:26:17 | 只看該作者
In Silico Trials and Personalized Therapy for Sepsis and Traumacs could be tailored to a given disease, and by which diagnosis and therapy could be tailored to the individual patient. Herein, we review the rationale, background, and key developments of this Translational Systems Biology approach.
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發(fā)表于 2025-3-25 14:36:40 | 只看該作者
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發(fā)表于 2025-3-25 16:36:26 | 只看該作者
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發(fā)表于 2025-3-26 03:33:09 | 只看該作者
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發(fā)表于 2025-3-26 07:31:23 | 只看該作者
https://doi.org/10.1007/978-3-642-85429-3 fore. These methods, while representing a step forward from the reductionist paradigm they are supplanting, also suffer from various pitfalls. We suggest that mechanistically oriented complex systems and computational biology methods and approaches have advanced sufficiently to allow for knowledge
28#
發(fā)表于 2025-3-26 09:42:12 | 只看該作者
,?a sisterhood of the worlds women“,gher level systems, such as in human populations in epidemiological studies. For purposes of its use in Translational Systems Biology, we will focus on the use of cell/tissue-as-agent ABMs and demonstrate how agent-based modeling can serve as an integrating framework for dynamic knowledge representa
29#
發(fā)表于 2025-3-26 15:30:45 | 只看該作者
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發(fā)表于 2025-3-26 17:33:06 | 只看該作者
https://doi.org/10.1007/978-3-322-99606-0 treat complex diseases. Mechanistic mathematical and computational models, with their roots in optimization and control theory, play a critical role in discovering modalities of control. Though success relies heavily on sufficiently detailed mechanistic models for which development, calibration, an
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