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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Measuring The True Patient Experience
Utilizing the insights covered in this article can inform the design and implementation of cancer trials, ultimately contributing to improved patient care and treatment outcomes.
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The Value Of Tokenizing Clinical Development Data
Most use cases of real-world data don’t require tokenization to deliver value. However, given industry challenges and the influx of information, see how ROI can be achieved from trial data tokenization.
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5 Important Questions To Ask Your Wearable Technology Partner
Discuss these questions with any wearable technology partner to establish a solid foundation for a successful collaboration that maximizes the potential of wearable DHTs in your clinical research endeavors.
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Building Patient-Focused eCOA Strategies: Insights And Best Practices
Discover why the use of electronic clinical outcome assessments (eCOA) in clinical research is becoming an increasingly important part of study design in this article.
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Mitigating Study Risk With Performance Analytics
Performance metrics for supporting risk-based management can be great, however, this author tells readers why collecting and analyzing data after a study has begun may not be the best approach.
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The Strategic Case For RTSM in Phase 1 Trials
Phase 1 trials demand precision and speed. RTSM delivers real-time control over enrollment, dosing, and supply, reducing risk and enabling adaptive strategies that keep timelines on track.
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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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Clinical Trial Technology Report Showcases 2023 Trends: Site Enablement, eISFs, And Integrations
Dive into six insights to stay on top of the rapidly shifting research industry and to ensure your research organization doesn’t get left behind.
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Responsible Use Of AI In Healthcare: Work In Progress
Delve into the transformative role and potential benefits of artificial intelligence (AI) in healthcare and learn why it's crucial to carefully consider and plan for the responsible use of AI.
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Cytokine Release Syndrome Monitoring
Here we introduce an innovative risk-monitoring solution aimed at mitigating Cytokine Release Syndrome (CRS), a critical complication in immunotherapy that often leads to prolonged hospitalization.
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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