Hovione's $35M CDC Flex line links spray drying to tablets, designed to eliminate scale-up under FDA Q13 guidance.
News|Articles|April 30, 2015
The Acquisition Battle Continues with Another Perrigo Rejection
Author(s)Pharmaceutical Technology Editors
Perrigo rejected Mylan’s second proposal for an acquisition valued at more than $34 billion, saying that the offer was too low to consider.
Advertisement
On April 29, 2015 Mylan announced that it would up its offer to Perrigo from its
“Based on Mylan’s unaffected price of $55.31 per share on March 10, 2015, the last day of trading prior to widespread public speculation that Teva was considering an offer for Mylan, the value of the revised offer is $202.20 per Perrigo share,” Perrigo said in a press release.
Source:
Advertisement
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.
Advertisement
Advertisement