AI is accelerating clinical trials, but supply teams risk falling behind. Explore how smarter planning, data, and experimentation turn AI into real operational impact.
- Telehealth In Clinical Trials: What Sites And Patients Think
- 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
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Balancing Clinical Care With Digital Utility In Hybrid Trials
To create an effective decentralized clinical trial, tools and methods must be considered within the context of challenges faced by the clinical trial’s patients, physicians, and sites.
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Key CTMS Capabilities To Improve Financial Management
In clinical research, utilizing your clinical trial management system (CTMS) to its fullest potential can allow for more streamlined financial management, visit management, compliance, patient recruitment, and more. This blog outlines what you should look for in a CTMS to maximize your organization’s return on investment (ROI).
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The Next Competitive Advantage In Clinical Trials Is Execution Intelligence
AI fails in clinical trials when decision-making is messy. To win, sponsors must fix their "execution blind spot" by structuring how work happens, letting AI turn hidden patterns into strategy.
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Medable Platform Delivers >90% eCOA Adherence And Scalability
Discover how eCOA use drove >90% adherence across an extensive weight management master protocol clinical trial with multiple sub-studies across 70+ research sites.
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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.
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Fomenting A Culture Of Analytical Excellence In Clinical Development
Building an "analytics culture" in clinical research requires striking a balance between fast, flexible technologies and the right support for trial teams working to integrate these solutions.
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10 Questions To Ask When Looking For An eClinical Platform
Stakeholders should ask these questions when aiming to enhance the integrity and efficiency of their clinical trials while minimizing risks associated with inadequate eClinical solutions.
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CAR T Study For Blockbuster Drug Granted Therapy Designation
Discover how a pharmaceutical sponsor received support for an EDC and IRT database build and got help with data management and biostatistics.
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Better Data, Better Decisions
Learn how to achieve greater certainty in clinical trial financial management by leveraging adaptive, accurate, and defendable fair market value.
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Unlocking Potential AI And ML In Pharmacovigilance
Artificial intelligence (AI) and machine learning (ML) hold transformative potential in pharmacovigilance (PV), with the ability to enhance the efficiency, accuracy, and timeliness of drug safety monitoring.
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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