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#辉瑞

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Oct 13Tue
  1. biospace.com56

    Pfizer pens $500M+ deal with Enodia to destroy disease-causing proteins

    Pfizer has signed a deal with Paris-based Enodia Therapeutics worth up to $500 million, covering an upfront payment plus research, development and sales milestones, with tiered royalties on net sales. Enodia will screen, optimize and develop small-molecule inhibitors of the Sec61 membrane protein complex, while Pfizer handles clinical studies, manufacturing, regulatory and commercial work. Target indications are not yet specified. Pfizer's venture arm had co-led Enodia's €20.7 million ($25 million) seed round in January.

    Why it matters: Pfizer commits over $500 million to a Sec61-targeting platform less than a year after the biotech's launch.

Oct 8Thu
  1. biospace.com40

    Q3 layoffs down YOY, with 90% fewer biopharma employees affected

    BioSpace tallies show biopharma layoffs fell sharply year over year in Q3, with a 56% drop in companies making or projecting cuts and a 90% plunge in affected employees; the 27 companies and 2,568 people affected are the lowest quarterly figures since tracking began in 2024. Eight Big Pharma companies accounted for cuts of 1,845 employees in the quarter, including Bristol Myers Squibb letting go of 265 people in Princeton, New Jersey, GSK closing a German vaccine site with about 650 job losses, and Novartis, whose 2026 disclosures total at least 922 people. Novo CEO Mike Maziar Doustdar said overall headcount has dropped by 13,000 over the past year, including 9,000 layoffs under a restructuring announced in September 2025 targeting around $1.25 billion in annualized savings.

Oct 6Tue
  1. biospace.com46

    Compliance concerns hinder rollout of AI in drug manufacturing: Survey

    Fewer than 10% of drugmakers are scaling AI in clinical or commercial manufacturing, according to a CRB survey of more than 400 R&D and manufacturing professionals for its 2026 Horizons report. Use is concentrated in nonregulated areas such as administrative workflows (56%) and drug discovery (45%), with accuracy and quality concerns and insufficient validation standards cited as the main barriers. CRB found that 31% of respondents plan to use AI in regulated manufacturing within three years, and another 31% are considering it without a formal plan.

    Why it matters: Shows regulatory and validation concerns are blocking AI adoption in drug manufacturing, with an FDA warning letter already issued.

CBACBA Frontier Insights (CFI)Chinese Biopharmaceutical Association (CBA)www.cba-usa.org