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English(EN) From Lab Bench to Browser: A Hybrid Digital Twin for CHO Cell Culture I rebuilt two published CHO cell-culture papers — a hybrid ODE + machine-learning growth m

混合数字孪生模型用于生物制药的CHO细胞培养

已开发出计算型中国仓鼠卵巢(CHO)细胞培养的计算复制品,整合了机械模型和机器学习模型。该混合数字孪生旨在预测细胞培养实验的结果,减少昂贵且耗时的物理试验的需要。该工具通过重建和扩展现有研究而构建,允许用户直接在网络浏览器中探索生物制药生产过程的各种“假设”场景。 AI

影响 通过模拟复杂的细胞培养过程,在生物制药开发中实现更快、更便宜的实验。

排序理由 该集群描述了基于现有科学论文的混合计算模型的开发和实施,该模型充当特定生物过程的数字孪生。[lever_c_demoted from research: ic=1 ai=1.0]

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    From Lab Bench to Browser: A Hybrid Digital Twin for CHO Cell Culture I rebuilt two published CHO cell-culture papers — a hybrid ODE + machine-learning growth m

    From Lab Bench to Browser: A Hybrid Digital Twin for CHO Cell Culture I rebuilt two published CHO cell-culture papers — a hybrid ODE + machine-learning growth model, and a genome-scale metabolic reduction pipeline — as an interactive digital twin that runs in the browser. Here's …