ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS

• Preparing Clinical Teams for 2026: AI, Automation & Integration

  Clinical teams should prepare for 2026 by embracing AI, automation, and unified platforms to improve efficiency, data quality, and scalability in increasingly complex trials.

• A Few Clicks And Done: Automating EDC Data Entry

  A novel solution has emerged to tackle the inefficiency and errors in manual data re-entry during clinical trials, streamlining data entry, eliminate application switching, and benefit all stakeholders.

• Why Are Sponsor Organizations Using More Than 1 CTMS Solution?

  Explore evolutions in the eClinical market, CTMS use in the outsourcing community, and the difficulty in keeping up with requirements that sponsor organizations, CROs, and clinical trial sites experience regarding their CTMS solutions.

• Ensuring Patient-Centered Care In Oncology Trials

  In oncology trials, safety and tolerability are a core focus. From centralized ECGs to patient-reported outcomes, utilize this guide for optimizing assessments of drug safety and quality of life.

• Global Pharma Enables Remote Sample Collection With eCOA Solution

  Unearth how a worldwide pharmaceutical company was able to facilitate the remote collection of stool specimens from patients at their residences as needed for research on infectious diseases.

• AI's Bottleneck In Clinical Trials Moved, And Most People Missed It

  AI has accelerated drug discovery, but the real bottleneck is now clinical trial operations. Explore why regulatory success depends on auditable data governance, not model speed.

• How Can Real-World Data Benefit Your Trials?

  Clinical trial data is being supplemented with real-world data (RWD) gathered from a variety of sources. Dive deeper into this emerging trend to understand its implications for the future of clinical research.

• eCOA 101: What Is Electronic Clinical Outcome Assessment?

  Electronic Clinical Outcome Assessment (eCOA) has transformed data collection in clinical trials by prioritizing patient engagement and improving data accuracy.

• Early-Stage Biotech's AI Advantage Is A Window That Closes

  FDA AI guidance won’t build your strategy for you. Learn how biotech teams can avoid retrofits and design smarter clinical AI from day one.

• Unlocking Scalability In Pharma With AI

  Uncover how artificial intelligence and machine learning could emerge as the most pivotal technologies of our era, with the potential to facilitate scalability in pharmaceuticals and other industries.