Strong data hygiene, formal governance, and human oversight are becoming essential to responsible, scalable AI adoption in clinical trials.
- From 73% Noncompliant To 2.4%: Building A Compliance Office
- How AI Is Used To Predict Trial Performance Before Enrollment
- Two Planning Mistakes That Quietly Sink Clinical Programs
- Token Costs Will Decide Clinical Supply AI
- 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
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Biosample Tracking: A Consenting Dilemma
Biosample collection is an inevitable part of most clinical trials. Learn how sponsors should be tracking every sample back to the source so as to not violate compliance issues.
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Evaluating Usability And Incorporating The Patient Experience In DECODE-Nocturnal Scratch
The DECODE-Nocturnal Scratch group, launched in November 2023, aims to introduce a purpose-built digital measure of nocturnal scratching to enhance patient-focused drug development in dermatology and provide deeper clinical insights.
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8 Key Applications Of Real-World Data In Multiple Myeloma Therapy Development
Explore how therapeutic area (TA) datasets can be leveraged to address the challenges multiple myeloma (MM) presents in the field of hematologic malignancies.
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Overcoming 5 Challenges Of Implementing eClinical Technologies
Assess five common pitfalls trial teams face when incorporating new technology and identify potential solutions to mitigate the common risks.
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Early-Stage Biotech's AI Advantage Is A Window That Closes
The "greenfield" advantage allows biotechs to build AI-native trials from the start, replacing manual data entry with automated workflows and structured human oversight for better data integrity.
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Why Open API Architecture Matters In Clinical Research
Clinical trials need flexible workflows, but layered integrations add complexity. Open APIs enable real-time data exchange so processes adapt without fragile dependencies or added overhead.
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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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Gradually Investing In Direct Data Capture Is Inevitable
Given study decentralization and the many electronic sources of data now available, it is time for sponsors and contract research organizations to face the inevitable: EDCs need to be “sunsetted.”
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Rethinking Technology For Patients And Sites In Clinical Trials
The solution to administrative burden in clinical trials is not in adding more tools, but in improved integration that allows software to fade into the background.
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Solving Key eCOA Challenges Through Digital Trials—Proof Points!
Medable has reached some important milestones and shares them in its end-of-year report. Check it out to see what game-changing results they've brought to their customers.
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- 09.05.26 -- Best Of August: AI, FDA RWE, And Trial Data Risks