INSIGHTS ON CLINICAL TRIAL DESIGN

• Why Do Clinical Trials Cost So Much? Looking Beyond The Obvious

  The true cost of research goes beyond budgets to design, data, and execution inefficiencies. Streamlining processes and early decisions reduces delays, controls costs, and improves study quality.

• Improving The eCOA Experience

  Discover how template-driven builds and reuse can slash eCOA timelines by 50% while solving the licensing and translation hurdles that delay First Patient In.

• Investigator SmartSelect

  This advanced recommendation engine identifies protocol-specific investigators in just minutes, dramatically shortening a process that typically takes four to six weeks.

• Beyond The Database: Reaching Real Patients In Real Communities

  There’s fatigue around “database-only” recruitment tactics. This presentation spotlights how patient-centric, local engagement are outperforming traditional pipelines.

• Key Risk Areas that Can Derail Clinical Trials with Ocular Endpoints

  1/15/2025

  By embracing point-of-need models and strategic collaborations, sponsors and CROs can streamline ophthalmic trials and maximize ROI while advancing sight-saving therapies.

• How Digitized Protocols Are Accelerating Clinical Research

  4/15/2025

  Digitized protocols, enhanced by artificial intelligence (AI), are transforming clinical trial operations by accelerating document generation, system integration, and trial optimization.

• Best Practices For Operationalizing Global, Early-Phase Oncology Trials

  9/10/2025

  In this presentation, industry experts will share real-world lessons learned from managing global early-phase oncology trials.

• GA Screening: Early Detection For Future Trial Recruitment

  4/9/2026

  Community-based screenings identify undiagnosed eye disease at high rates, creating a scalable, high-trust pathway for early intervention and improved clinical research recruitment.

• Human Abuse Potential: Participant Recruitment

  5/1/2026

  Take a look at the strategies behind successful human abuse potential studies, from volunteer recruitment models to retention challenges, and how participant experience directly impacts data quality.