• Hasty Decisions, Runaway Projects

    Despite the best intentions of ISO and EMA, the pharma industry is still largely failing to exploit its data in a strategic, joined-up way - and this could now restrict companies’ ability to capitalize on AI. read more
  • AI in Pharmacovigilance: Key Takeaways from Boehringer Ingelheim’s Recent Rollout

    In conversation with Pharmaceutical Outsourcing, Claudia Lehman, Head of Global Pharmacovigilance Operations at Boehringer Ingelheim and Lucinda Smith, ArisGlobal’s Chief Safety Product Officer, reflect on some of the lessons learned from Boehringer’s deployment of AI to date in targeted use cases, starting with adverse event case intake and processing. read more
  • Executive Q&A - Early Drug Development

    In this Q&A, we explore early-stage pharmaceutical drug development trends, key scientific and technical challenges, and the role emerging technologies play in enhancing efficiency and quality during early pharmaceutical development. read more
  • HPLC-Based Strategies for Impurity Profiling and Validation in Standard Drug Analysis

    The control of pharmaceutical impurities is a fundamental objective in the development of drugs, focusing on the comprehension of the chemical structures of unidentified impurities. This understanding is essential for evaluating toxicological consequences and grasping the mechanisms of formation. API-related impurities, such as degradation and interaction, can affect drug product quality, safety, and efficacy. Classifying sources of impurities is essential for analytical method development and acceptance criteria. read more