Hovione's $35M CDC Flex line links spray drying to tablets, designed to eliminate scale-up under FDA Q13 guidance.
|Videos|April 19, 2023
Interview with LGM Pharma’s CEO, Prasad Raje
Author(s)LGM Pharma
Key Learning Objectives:
- LGM Pharma reports strong revenues in its first year of CDMO operations and continued growth in its API Sourcing business
- Offering API sourcing and CDMO services, plus Analytical Testing and new Drug Product R&D services, addresses the comprehensive needs of customers as LGM promotes its customer-centric strategies for growth.
- LGM Pharma elevated its API sourcing network with the 2020 acquisition of NexGen Pharma’s CDMO business – enabling the one company to provide comprehensive services.
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.