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Updated: Jan 20, 2026

Author Spotlight: Improved Method for Production and Purification of Adeno-Associated Viral Vectors
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适应性机器学习框架,用于优化腺相关病毒载体的亲和力净化

Kelvin P Idanwekhai1,2, Shriarjun Shastry3,4,5, Morgan R Hurst3,4

  • 1Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Biotechnology and bioengineering
|January 19, 2026
PubMed
概括

使用贝叶斯优化的机器学习显著增强了腺相关病毒 (AAV) 载体净化. 这种适应性框架迅速提高了AAV的产量和纯度,降低了成本,并推进了基因治疗的可访问性.

关键词:
贝叶斯优化是贝叶斯的优化.斯过程是高斯过程.生物分离的生物分离.封闭循环开发过程的开发过程.基因治疗的基因疗法

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