Clinical Technologies

INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

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.
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.
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.
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.

AI in Pharma: Benefits, Risks, And The Road Ahead
10/23/2024

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?
Advancing Digital Measures From Scientific Rigor To Real-World Impact
4/9/2026

Discover how digital health technologies are moving from experimental tools to validated clinical endpoints through regulatory alignment, AI integration, and cross-industry collaboration.
Participant Payments Without Site Burden
6/16/2026

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.
Bridging The Gap Between Protocol And Execution In Clinical Trials
7/20/2026

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.
Why Legacy ERP Systems Are Draining Your IT Budget
4/3/2025

Maintaining outdated ERP systems can consume up to 80% of an IT budget, leaving businesses stuck in a costly maintenance cycle that stifles innovation.

Collect RWE With Natural History Studies

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.
The Only Platform Digitizing And Sharing All EOS Data

Explore this end-to-end solution designed to effortlessly create, disseminate, and oversee files upon the conclusion of a study.
How AI Is Setting A New Standard In Clinical Development

Learn how to adopt artificial intelligence in practical, measurable ways, from protocol feasibility and cohort modeling to clinical trial disclosure and transparency.
Site Cloud: End Of Study (EOS)

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.
NDA/MAA Preparation Survival Guide: Overcoming Data Analysis Hurdles

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.