Pharma has invested substantially in machine learning applications, but investment in the operational infrastructure — the MLOps layer — has lagged. The time to build that infrastructure is now — not after your next trial fails.
- How Deep Learning Is Changing Clinical Trial Design, Execution, And Analysis In 2026
- Telehealth In Clinical Trials: What Sites And Patients Think
- 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
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Exploring The Potential Of Non-Consumer Smartphones In Clinical Trials
We selected and evaluated a non-consumer device, to explore its potential as a reliable tool for home-based ePRO measure administration. Here’s what we learned from this usability testing.
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Advancing The Implementation Of ICH E17
Explore the ICH E17 guidelines that provide a harmonized framework for designing and conducting multiregional clinical trials (MRCTs) to meet the regulatory expectations of multiple regions.
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Why Prospective Real-World Studies Hold Promise For Research
Clinical research has always been a cautious and time-consuming affair. Discover how prospective real-world studies are poised to transform the role of RWE in clinical research.
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EHR Integration: Driving Clinical Trial Efficiency
Explore how clinical trials are integrating Electronic Health Records (EHRs) into trial workflows to better face the increasing demands for efficiency, cost reduction, and improved participant experiences.
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Reframing Clinical Vendor Selection
Explore a platform that enables seamless vendor selection as well as cross-functional collaboration with built-in templates and tailored question libraries that simplify proposal creation and review.
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Expand Clinical Trial Recruitment With Advanced Analytics And AI
Using advanced analytics and AI can help clinical trial leaders identify and enroll a broader, more diverse patient population, accelerating research.
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Harnessing The Power of Real-World Data In Clinical Trial Planning
As the availability of RWD grows, it creates opportunities for sponsors to use true patient insights to support their clinical strategy and bring treatments to patients in need.
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A Data-Driven Approach To Clinical Trial Site Selection
By incorporating data-driven site selection and verification, sponsors can optimize resource allocation, enhance protocol compliance, and improve overall trial integrity.
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Enhancing The Patient Journey In Clinical Trials
Utilize supportive data to overcome the challenges of implementing a patient-focused approach to clinical trials and enhance your trial outcomes, advancing research and improving the patient journey.
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Effectively Working With A Research Technology Vendor During Implementation
In order to get the most out of your vendor partnership, here are steps to take when working with your vendor as you adopt and implement their technology for your organization.
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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