INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES
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What Do Cancer Patients Really Want From mHealth Technology?
The success of mobile health (mHealth) tools depends on whether patients want to use them. Patient perspectives can guide design to reduce burden, build trust, and make digital tools truly meaningful.
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Pairing AI With High-Quality Data Leads To Clinical Success
While artificial intelligence (AI) is already impacting clinical trial planning, pairing AI with trusted data makes it even more powerful. Experts reveal how AI is being used today across feasibility, site selection, and trial strategy.
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Remote Patient Monitoring Using Mobile Health Technology
This study investigates the attitudes of cancer patients towards the adoption of mHealth technologies, including applications and wearable devices, for monitoring purposes during or after their treatment.
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Letter From The CEO: A New Era Of Drug Development Is Here
This letter from Medable CEO Michelle Longmire lays out why we created Studio, what it enables sponsors and CROs to do, and how it will help everyone bring more effective therapies to patients faster.
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AI in Pharma: Benefits, Risks, And The Road Ahead10/23/2024
How could leveraging AI technologies, including machine learning (ML) and generative AI (GenAI), enable your company to streamline processes from drug discovery to post-launch?
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Advancing Digital Measures From Scientific Rigor To Real-World Impact4/9/2026
Discover how digital health technologies are moving from experimental tools to validated clinical endpoints through regulatory alignment, AI integration, and cross-industry collaboration.
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Participant Payments Without Site Burden6/16/2026
Participant payments can create extra work for clinical trial sites. Learn how clearer ownership, connected workflows, and direct support reduce site burden while preserving visibility.
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Bridging The Gap Between Protocol And Execution In Clinical Trials7/20/2026
Transform passive trial operations into active infrastructure. Learn how a digitized execution layer builds in compliance, enables effective AI, and frees teams for critical decision-making.
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Why Legacy ERP Systems Are Draining Your IT Budget4/3/2025
Maintaining outdated ERP systems can consume up to 80% of an IT budget, leaving businesses stuck in a costly maintenance cycle that stifles innovation.
CLINICAL TRIAL TECHNOLOGY SOLUTIONS
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Developing a therapy for a rare or ultra-rare disease is life-changing work with unique challenges. Examine how natural history data is being used to inform the clinical development process.
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Explore this end-to-end solution designed to effortlessly create, disseminate, and oversee files upon the conclusion of a study.
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Learn how to adopt artificial intelligence in practical, measurable ways, from protocol feasibility and cohort modeling to clinical trial disclosure and transparency.
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Site Cloud: End of Study is the first end-to-end solution that seamlessly generates, distributes & manages sites’ study files at the end of a study. With EOS, sites’ study files are accessible and downloadable via a secure and trusted unified platform, eliminating the need to create and distribute physical media and deal with paper acknowledgment forms.
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Read how a biostatisical programming team's ability to strategically migrate and produce clinical trial data outputs in submission-ready format represents a key opportunity to reduce timelines without sacrificing data quality.