• 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
  • Leveraging AI and ML to Optimize Drug Discovery – a CRO Perspective

    CROs supporting early-stage drug discovery projects are establishing their own internal AI platforms to address their clients’ needs in an evolving field. read more
  • From Data to Tissue

    The national-security regulatory landscape now layers a geopolitical framework onto the data flows, sample logistics, and vendor relationships that make modern clinical research possible. This architecture will not simplify. The DSP’s country-of-concern list may expand, the BIOSECURE Act’s designated-entities list will likely grow, and state legislatures continue adding requirements. 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