In the second part of their series on Elsa AI model migration, Kimberly Chew, Esq., and Michael Yang, Esq., analyze the risks to compliance and data residency, as well as the integrity of the regulatory record.
- Making AI Work For Clinical Trial Supply
- Edge AI Is Reshaping How Clinical Trials Run
- 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)
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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How To Budget For Site Payments Success
Unearth how bringing the functions of medical writing, clinical data management, and electronic data capture can positively impact the creation of a budget and payment process.
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The Beginner's Guide To An Electronic Data Capture (EDC) System
In this blog, delve into a basic understanding of the EDC system and its role in clinical trials.
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4 Key eCOA Benefits To Speed Up Your Clinical Trial
As the healthcare landscape moves towards a patient-centric approach, explore how sponsors and regulatory bodies look to eCOAs more and more for obtaining patient data.
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Navigating Biases In Clinical Trial Vendor Selection
Biases, often hidden, can distort vendor selection decisions. Recognizing and addressing them across individuals and teams leads to more objective, aligned, and successful clinical trial outcomes.
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Digital Measurement Of Nocturnal Scratch In Atopic Dermatitis
A major challenge in managing atopic dermatitis (AD) is the lack of objective tools to measure the impact of nocturnal scratching, but new digital measurement solutions could address this gap.
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Considerations When Selecting An Interactive Response Technology Provider
Interactive response technology (IRT) systems ensure clinical trial participants receive the correct treatment, facilitate enhanced logistics tracking, and empower users to obtain real-time data.
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How SaaS Unlocks New Possibilities For Life Science Organizations
The rise of SaaS (software-as-a-service) has transformed industries, including life sciences, by enabling new possibilities. See how it’s already helping life science organizations around the world today.
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Mitigating Study Risk With Performance Analytics
Performance metrics for supporting risk-based management can be great, however, this author tells readers why collecting and analyzing data after a study has begun may not be the best approach.
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Why Real-Time eCOA Data Matters More Than Ever
Real-time eCOA data enables faster eligibility decisions, proactive issue alerts, and streamlined operations by unifying data, improving precision, responsiveness, and trial execution efficiency.
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Improving Oncology Trial Experiences & Efficiencies Digital Solutions
Uncover how a top-10 pharmaceutical company was able to overcome oncology clinical study obstacles with a digital software platform.
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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