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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Improving Patient Outcomes With Wearables In Major Depressive Disorder
Learn how medical-grade wearable devices can help advance treatments in conditions like major depressive disorder and paint a more complete picture of patients with this often debilitating condition.
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How eCOA Improves Patient Experience
Explore how to ensure that clinical trials are truly patient-centered, and why it is critical to do so.
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How To Reduce Risk And Effort When Migrating A TMF
Utilize this summary of key tips, checklists, and lessons learned to mitigate the risks and efforts associated with migrating a trial master file.
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Customizing EDC Workflows For Specialty Pharma, Rare Disease Trials
Rare disease and specialty pharma trials demand a level of flexibility with electronic data capture systems that can adapt dynamically without sacrificing data integrity.
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Remote Captured Sleep Data Unlocks New Clinical Insights
Gathering rich, real-world data in formal clinical trials has been difficult. Gain insight into ways to start collecting quality sleep data remotely by leveraging cloud-based data ingestion and processing.
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Digital Protocols Are At An Inflection Point: A Conversation With Novartis And TransCelerate Leaders
Digital protocols could reduce manual effort and enable rapid and more consistent downstream study execution, reporting, and submission processes. TransCelereate BioPharma's Rob DiCicco and Novartis' Bill Illis explain.
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Three Ways That eCOA Improves Data Quality
Follow this quick guide to the key ways that eCOA works to help all study stakeholders (patients, caregivers, study teams, etc.) produce better data.
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Achieving Faster, Simpler Validation Through Crowdsource UAT
An approach most often seen in the larger tech space, crowdsource UAT can offer several potential advantages for the clinical trial industry and eTMF validation.
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Three Benefits Of Centralizing Global Content For eCOA Migration
Now, more than ever, sponsors aim to empower the global patient voice through patient-centric technologies—including providing wearable technologies and using electronic clinical outcome assessments (eCOAs) to collect patient data.
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Hidden Costs Of Data Cleaning: Build Quality At The Source
Hidden costs from downstream data cleaning slow trials and raise risk. Explore why building quality at the source accelerates timelines, reduces errors, and gives sponsors a competitive edge.
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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