AI and early digital twin models can help forecast trial performance, refine site feasibility, and anticipate operational needs before enrollment begins.
- A Framework For Diagnosing Clinical Research Technology Maturity
- Clinical Trial Sites Don't Need More Tech, They Need Fewer Silos
- A Biostatistician's Caution Around Digital Twins In Trials
- Who Owns Data Quality? The Authority Gap Slowing Trials
- Clinical Research Isn't Even A Recognized Job. That's A Problem.
- What Will Life Science Orgs Do When The AI Bill Comes Through?
- Clinical Trial Standards — What They Are And Why They're Indispensable
- The Data Was Already There: RWE's Real Bottleneck Is People
ON-DEMAND WEBINARS
See how digital outcome measures of physical activity collected from ActiGraph technology as the primary endpoint in a pivotal cardiopulmonary trial were endorsed by the FDA, marking an important milestone.
As requirements for improved inspection readiness and quality risk management become more critical, discover the need to create a seamless integration and data flow between the eTMF and CTMS.
Gain a practical framework for evaluating tools, identifying high-impact use cases, and making informed decisions about implementation and vendor selection.
An expert panel explores how the industry leverages digital innovation to manage immunotherapy risks and critical next steps toward deploying scalable, technology-driven CRS monitoring solutions.
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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![GettyImages-2095562171-data-tech-network]( "GSK And Medable Discuss The Next Phase Of DCTs")
GSK And Medable Discuss The Next Phase Of DCTsGSK and Medable share the value of embedding DCTs into strategic goals to enhance trial accessibility, diversity, and efficiency.
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![GettyImages-1288964081 dct study]( "Pharmaceutical Company Gets Unified Decentralized Platform")
Pharmaceutical Company Gets Unified Decentralized PlatformUnearth how this global eClinical provider delivered a decentralized platform including eSource/ePRO for direct-data-entry, randomization, eConsent, telehealth, remote monitoring, and data management.
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![GettyImages-1390380585 business, meeting, data, research, office]( "Productivity Hacks For An Effective RFP / Clinical Trial Vendor Selection")
Productivity Hacks For An Effective RFP / Clinical Trial Vendor SelectionStarting a new clinical study requires careful vendor selection and these practical, actionable steps to enhance your selection process and ensure long-term partnership alignment.
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![GettyImages-1445871463 supply chain]( "A Guide To RTSM For Clinical Trials")
A Guide To RTSM For Clinical TrialsLooking ahead, the evolution of RTSM in clinical trials points towards cloud-based solutions, heightened emphasis on patient safety, and greater collaboration among stakeholders. Learn how you can prepare.
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![GettyImages-1356381571 world data]( "Using RWE To Get To Insights And Action — Faster")
Using RWE To Get To Insights And Action — FasterDelve into three examples that vividly showcase the formidable power of real-world evidence from the early stages of drug development through clinical trials and commercialization.
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![clinical-trial-design-GettyImages-2246070389]( "Managing Medical Coding Dictionary Updates In Clinical Trials")
Managing Medical Coding Dictionary Updates In Clinical TrialsDictionary updates can impact data consistency, safety monitoring, and reporting. Learn key considerations for managing coding version changes while maintaining data integrity.
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![Doctors discussing patient data-GettyImages-2214031965]( "Clinical Trial Data Storage Requirements: What Sponsors Need To Know")
Clinical Trial Data Storage Requirements: What Sponsors Need To KnowManaging growing clinical trial data requires the right storage strategy. Learn how to balance scalability, security, compliance, and operational efficiency.
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![Artificial Intelligence (AI) Digital Concept GettyImages-1160995648]( "From Data Silos to Connected Intelligence: How AI Is Unifying Clinical Research Data")
From Data Silos to Connected Intelligence: How AI Is Unifying Clinical Research DataAI tools like TrialKit AI revolutionize clinical trials by integrating diverse data sources, including wearables, breaking silos, enhancing insights, and enabling smarter, more patient-centered research.
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![Humanized Data for AI_Getty-1155959249]( "How EDC Software Minimizes Bias In Clinical Trials")
How EDC Software Minimizes Bias In Clinical TrialsElectronic Data Capture (EDC) systems play a crucial role in mitigating bias through automated validation rules, structured workflows, and real-time monitoring.
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![Clinical Collaboration GettyImages-1288871608]( "How FAIR Data Principles Deliver Clinical Success")
How FAIR Data Principles Deliver Clinical SuccessPrioritize data management that adheres to FAIR principles — findable, accessible, interoperable, and reusable — to gain operational insights that enable quick decisions and ensure participant well-being.
- How AI Is Used To Predict Trial Performance Before Enrollment
- Two Planning Mistakes That Quietly Sink Clinical Programs
- A Framework For Diagnosing Clinical Research Technology Maturity
- Clinical Trial Sites Don't Need More Tech, They Need Fewer Silos
- A Biostatistician's Caution Around Digital Twins In Trials
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