Edge computing and AI are transforming clinical trials – enabling real time monitoring, decentralized research, and faster, more cost-effective drug development.
- Pick The Right PV Technology With Help From A Safety Data Management Expert
- Telehealth In Clinical Trials: What You Need To Know
- Enabling Cloud Computing In DCTs For Remote Data Capture, Monitoring, And More (Part 1)
- Safe And Sustainable DCTs and Hybrid Trials (Part 2)
- Forget More Clinical Tech, We Need More Adoption
- Joe Dustin: Sites Are Driving Clinical Tech Evolution
- How Salk And Sabin Helped Create The Modern Clinical Trial
- How To Operationalize AI-Enabled eTMF Systems Under The EU AI Act (Part 2)
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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ISR Report Sheds Light On eCOA/ePRO Market Dynamics
This comprehensive overview highlights the critical role these platforms play in modern clinical research, emphasizing their impact on data integrity and trial efficiency.
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Myth Or Fact: The Future Of Electronic Data Capture
Explore how EDC platforms are empowering researchers to conduct efficient trials regardless of data volume, source diversity, or patient demographics.
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Clinical Trial Logistics: Meeting Unique Participant Needs
Uncover why delivering a comprehensive service entails establishing a robust global network equipped with the expertise, resources, and adaptability to address diverse participant needs worldwide.
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A New Take On The Evolving Role Of AI In Clinical Trials
Artificial intelligence is shifting from promise to practice in biopharma. Zhong Lu, director of data science and AI at Novartis, outlines how AI is evolving the clinical trials process end-to-end.
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Regulatory Guidance For PRO Strategy In Oncology Trials
Kelly Dumais, Principal Scientific Advisor, and Jowita Marszewska, Scientific Advisor at Clario eCOA, delve into the specifics of how recent regulatory advancements are influencing PRO Strategy.
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Addressing The Challenges Of eCOA Licensing
How can you combat the instrument licensing and linguistic validation challenges associated with adopting electronic Clinical Outcome Assessments (eCOA), ensuring quick access to source files?
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The Next Steps To Modernize Clinical Trials With DHTs And AI
Explore an innovative approach to seamless, real-time data capture through wearable sensors that aligns with the FDA's efforts to modernize trials through Digital Health Technologies (DHTs).
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Demystifying AI In Clinical Trials
AI is revolutionizing clinical trials by improving efficiency and data quality, but success depends on strategy and oversight. Explore practical ways to integrate AI responsibly.
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Timely Lab Data To Inform Outreach To Healthcare Professionals
Learn how you can leverage a system that offers flexible data delivery formats and seamless integration into commercialization workflows while also ensuring HIPAA-compliant deidentified data for patient privacy.
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Rewriting The Rules Of Clinical Trials Through Digital Biomarkers
Digital biomarkers are reshaping clinical research with continuous, real‑world data that enhances insights, accelerates timelines, and supports patient‑centric design. Explore how emerging tools, AI, and cross‑industry collaboration are driving smarter, more connected clinical development.
FROM THE EDITOR
- Edge AI Is Reshaping How Clinical Trials Run
- Telehealth In Clinical Trials: What Sites And Patients Think
- Telehealth In Clinical Trials: What You Need To Know
- Forget More Clinical Tech, We Need More Adoption
- Joe Dustin: Sites Are Driving Clinical Tech Evolution
- How Salk And Sabin Helped Create The Modern Clinical Trial
- Why HEOR Keeps Arriving Too Late — And How ClinOps Can Fix It
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