<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Modica — Insights</title><description>R&amp;D notes and product deep-dives on adaptive digital twins for bioprocesses.</description><link>https://modica.bio/</link><language>en-us</language><item><title>The golden envelope: catching a drifting batch before it goes off-spec</title><link>https://modica.bio/articles/golden-envelope-batch-monitoring/</link><guid isPermaLink="true">https://modica.bio/articles/golden-envelope-batch-monitoring/</guid><description>A golden batch is a statistical envelope, not a single curve. Here&apos;s how multivariate batch monitoring — Hotelling&apos;s T² and DModX — lets a digital twin flag a drifting run early, and forecast where it&apos;s heading.</description><pubDate>Thu, 24 Sep 2026 00:00:00 GMT</pubDate><category>Product</category><category>digital twin</category><category>golden batch</category><category>MVDA</category><category>BSPC</category><category>prediction</category><category>bioprocess</category></item><item><title>An adaptive digital twin is only as good as its data</title><link>https://modica.bio/articles/adaptive-digital-twin-needs-live-data/</link><guid isPermaLink="true">https://modica.bio/articles/adaptive-digital-twin-needs-live-data/</guid><description>Simulation and prediction of a bioprocess depend on clean, standardized, contextualized, live signals. Here&apos;s why the data layer — not the model — is where most digital-twin efforts quietly stall.</description><pubDate>Thu, 17 Sep 2026 00:00:00 GMT</pubDate><category>R&amp;D</category><category>digital twin</category><category>OPC UA</category><category>MTP</category><category>data integration</category><category>NAMUR NOA</category><category>bioprocess</category></item></channel></rss>