• Flexibility as a Core IND Strategy

    With the increasing complexities of current IND programs, it is critical to work with regulatory agencies to seek input early in the process. read more
  • Rethinking the Architecture of Adverse Event Processing

    Deploying AI agents to handle data collection, coding, medical review, and quality-checking makes signal management autonomous at the processing stage. read more
  • An Interview With Dave Miller, Ph.D.

    Early formulation decisions can make or break a program, yet they’re often made under significant data constraints. What are the most common mistakes sponsors make when they rush that decision, and what does it typically cost them downstream? read more
  • AI Technologies in Pharmacovigilance

    Leading pharmaceutical companies are predominantly applying AI to case intake and early case processing in PV, where rising Individual Case Safety Reports (ICSRs) volumes and diverse report formats have made manual handling increasingly unsustainable. AI is used to support data intake, extraction, and transformation up to the point where information can be integrated into the safety database, while downstream steps like case assessment and medical review largely remain human-led. read more