Hovione's $35M CDC Flex line links spray drying to tablets, designed to eliminate scale-up under FDA Q13 guidance.
News|Articles|August 17, 2023
Capsugel® Enprotect® capsule (Aug 2023)
Author(s)Lonza
Introducing Lonza Capsules & Health Ingredients' groundbreaking enteric manufacturing technology - the Capsugel® Enprotect® capsule. This unique bi-layer capsule with the Coni-Snap® secure closure design utilizes HPMC and HPMC-AS polymers. It protects acid-sensitive APIs and enables rapid dissolution release at pH 6.8 without the need for additional excipients. The bi-layer manufacturing technology streamlines drug development processes, while personalized oral dose customization enhances product differentiation. Partner with us to revolutionize the microbiome market, overcome enteric delivery challenges, and drive innovation in modern healthcare.
Related to this article
This week on PharmTech, Merck diversified its pipeline, USP emphasizes supply chain security, AI systems are examined, and speakers preview their presentations at CPHI Milan and AAPS PharmSci 360.
Capsugel's Bram Baert and Sandrine Picco argue that chasing zero nitrite in pharmaceutical excipients is often impractical and costly. They recommend setting scientifically justified, risk-based limits and consistently staying below them.
Ron Scarboro, Azurity Pharmaceuticals, claims drug reformulation that removes patient barriers must preserve efficacy, urging early cross-functional team alignment.
PharmTech AI Pulse Check episode 2 covers AI data governance, API-gated journals, watermarking limits, and why attribution beats detection in GxP.
The FDA opened an expedited IND pilot, tightened scrutiny of foreign trial data, and finalized a rule recognizing non-animal testing methods. In Europe, the EMA advanced pharmaceutical legislation reform, restricted 2 legacy products, and opened an injectable-iron safety review.
Novartis licenses Abogen's mRNA-encoded T-cell engager for autoimmune disease, raising scale-up questions for mRNA-lipid nanoparticle manufacturing.
Pharma manufacturing spent 90 years learning that producing correct outputs isn't the same as catching your own errors. AI has only learned the first.