INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES
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Data-Driven Decision-Making In Clinical Trials
By leveraging real-time data and predictive tools, sponsors and CROs can address the increasing complexity of trials, accelerate therapeutic development, and proactively manage risks.
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AI Importer — See It in Action!
The new AI Importer feature for Citeline’s TrialScope Disclose instantly extracts over 90 data fields from study properties, endpoints, and more. It delivers structured, accurate data and full audit traceability.
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5 Best Practices For Getting Started With ePRO
Unlock the potential of electronic Patient Reported Outcomes (ePRO) in your clinical research by implementing these essential best practices for success.
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De-Risking Strategies For Schizophrenia Programs
Dr. Jeffrey Lieberman, Dr. Alan Kott, and Dr. Chris Murphy dissect why Phase 3 failures are increasing, how data quality issues cluster at specific sites, and why inadequate dose-response mapping continues to derail programs.
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eSource Purpose Is Not Just To Complete The EDC7/7/2025
Central eSource transforms data capture from a passive, back-end chore into an active, real-time quality and compliance engine—delivering benefits that extend beyond faster EDC feeds and reduced SDV.
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Clinical Trial Starts Rose At Slower Pace In 202412/8/2025
Clinical trial starts grew 5.5% to 10,503 in 2024, a slowdown from 2023’s 9.4% rise in trial starts. Sustained geopolitical and global regulatory pressures on pharma contributed to curbing momentum.
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AI In Clinical Trials: Key Insights From Industry Experts8/8/2025
Find out what experts from the FDA are saying about AI’s ability to demonstrably impact three critical success metrics in clinical trials.
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Accelerating Clinical Data Review With Traceable Workflows12/3/2025
Clinical data review needs centralized access and traceable workflows. Leveraging AI-automation and real-time collaboration drives faster, better-informed decisions and reduced compliance risk.
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Accelerating IND-Enabling Studies With Automated Bioanalysis Workflows9/2/2025
Reimagined as automation-first, bioanalysis shifts from being an Investigational New Drug (IND) bottleneck to a catalyst for innovation—helping companies move therapies forward with greater confidence.
CLINICAL TRIAL TECHNOLOGY SOLUTIONS
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Collect valuable data on treatment effects beyond clinic visits and without burdening patients or sites using mobile health sensors and wearables with secure data collection.
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Address inconsistent assessment scoring that masks treatment effects and inflates placebo responses while delivering cleaner endpoint data through standardized scale administration.
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Be ensured that Targeted Source Data Verification is appropriately aligned to meet the needs of clinical trial monitoring and risk-based quality management.
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The IQVIA eTMF is easy to use, quick to implement, and adaptable to the needs of growing biotechs. Take control of compliance and deliver seamless inspections with the IQVIA eTMF.
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Medidata AI’s Synthetic Control Arm® (SCA®) leverages historical clinical trial data (HCTD) to provide a more relevant clinical insight for the purpose of developing new therapies.