Latest Articles

  • How AI is Transforming Clinical Trials

    AI is already reshaping the clinical trials industry and that transformation looks set to continue over the next five years. New technologies will enable the development of more personalized medicines, empower more responsive trial designs and improve informed decision making by unlocking new data insights. read more

  • Status Of AI Regulation On Drug Development

    As AI capabilities scale, the FDA expects sponsors and their outsourcing partners to treat AI like any other regulated, computerized system that can influence safety, effectiveness, or quality–define the role, document credibility, control the lifecycle, and monitor performance. 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