<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Closed-Loop-Bioprocess-Optimization on 生物经济</title><link>https://cn.bioecon.ru/technologies/closed-loop-bioprocess-optimization/</link><description>Recent content in Closed-Loop-Bioprocess-Optimization on 生物经济</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Wed, 19 Aug 2026 17:18:11 +0700</lastBuildDate><atom:link href="https://cn.bioecon.ru/technologies/closed-loop-bioprocess-optimization/index.xml" rel="self" type="application/rss+xml"/><item><title>AI生物工艺优化SaaS</title><link>https://cn.bioecon.ru/technology/ai-bioprocess-optimization-as-saas/</link><pubDate>Wed, 19 Aug 2026 00:00:00 +0000</pubDate><guid>https://cn.bioecon.ru/technology/ai-bioprocess-optimization-as-saas/</guid><description>将机器学习应用于生物工艺研发与生产数据、以预测结果并优化工艺参数的云端/SaaS平台——区别于生成这些数据的物理PAT硬件（拉曼光谱、色谱、质谱传感器）的软件分析层——由四家专业公司（DataHow、Aizon、AlgoCell、Atinary）提供，覆盖全工艺生命周期建模、集成合规功能的生产智能平台，以及免代码自驱动实验室研发工具。</description></item></channel></rss>