AI and early digital twin models can help forecast trial performance, refine site feasibility, and anticipate operational needs before enrollment begins.
- A Framework For Diagnosing Clinical Research Technology Maturity
- Clinical Trial Sites Don't Need More Tech, They Need Fewer Silos
- A Biostatistician's Caution Around Digital Twins In Trials
- Who Owns Data Quality? The Authority Gap Slowing Trials
- Clinical Research Isn't Even A Recognized Job. That's A Problem.
- What Will Life Science Orgs Do When The AI Bill Comes Through?
- Clinical Trial Standards — What They Are And Why They're Indispensable
- The Data Was Already There: RWE's Real Bottleneck Is People
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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CRO Takes Trial Build Times From Weeks To Days
Recognizing the inefficiencies in traditional build processes, a top global CRO partnered with Medable to transform its approach to clinical trial launch.
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3 Things To Know When Using Wearables In Your Study
As wearables unleash new possibilities, the industry will need an effective strategy to utilize these useful tools. Consider these tips when incorporating wearables in a clinical study.
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Enhancing The Accessibility And Affordability Of Healthcare
The March/April 2025 issue of Value & Outcomes Spotlight explores the urgent global health crisis of accessibility and affordability, highlighting the nearly 2 billion individuals lacking essential medicines.
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Level Up Your Supply Chain Initiatives
Shipping and storing advanced therapeutics are complex processes, but advancements in accountability, wearables, and technology capture real-time factors critical to safety and protocol.
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How To Make eConsent Accessible Across Diverse Populations
Accessible eConsent removes language, literacy, disability, and tech barriers, improving comprehension, equity, compliance, participant trust, inclusive enrollment, and data quality.
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Developing Drugs For Rare Diseases: Generating Clinical Evidence
For rare diseases, scientific breakthroughs often stall before reaching patients. A new approach to generating clinical evidence could change that trajectory.
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AI Won't Fix Clinical Development Until Pharma Changes How They Use It
Clinical development teams can unlock real AI value by aligning it to roles, workflows, and accountability. A practical operating model shows how to cut cycle time, reduce rework, and strengthen GxP‑ready decisions.
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FDA Releases Updated Draft Guidance On Decentralized Clinical Trials
Take a closer look at the FDA's draft guidance on designing and implementing DCTs, notably remote trial visits, the use of digital health technologies, institutional review board oversight, and more.
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Own Your Data, Accelerate Your Cure
Move from passive donor to active innovator. Explore how patient communities are building their own research infrastructure and using AI to bypass traditional barriers to drug development.
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How Integrated Technology Solutions Drive Streamline Clinical Trials
Integrated digital solutions are helping clinical trial managers address significant operational challenges that raise costs and prolong trial durations.
- How AI Is Used To Predict Trial Performance Before Enrollment
- Two Planning Mistakes That Quietly Sink Clinical Programs
- A Framework For Diagnosing Clinical Research Technology Maturity
- Clinical Trial Sites Don't Need More Tech, They Need Fewer Silos
- A Biostatistician's Caution Around Digital Twins In Trials
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