An RF and semiconductor engineer explains why AI can’t compensate for hardware and connectivity errors, and what questions to ask instead.
- Why Clinical AI Validation Needs Portability Testing Beyond A Single Accuracy Score
- The Synchronization Problem Clinical Research Isn't Watching
- Why Ophthalmology Trials Are Clinical Research's Toughest Tech Test
- Why Trustworthy Clinical Trial Data Starts As Analog, Not Digital
- Why Clinical Trial Coordinators Are Still The Human API
- The Cost And ROI Of Agentic AI In Clinical Trials: What Sponsors And CROs Need To Know
- Designing eCOA Technology Patients Can Actually Use
- Clinical Trial Technology Doesn't Fail – It Fails At The Handoff
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Taming The Complex Clinical-Trial Ecosystem
To navigate the growing number of vendor portals required for clinical trials, sites are seeking a vendor- and sponsor-agnostic solution to enable single sign-on and study organization.
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Responsible AI In Clinical Trials Starts With How It Is Designed
Explore how trials can responsibly use AI to move faster while keeping human judgment, data protections, and auditability intact.
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Better eConsent Through Education Best Practices
eConsent can have a positive impact on participant retention, but learn why that is only part of the challenge of meeting participant needs in a clinical trial.
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From Data Silos to Connected Intelligence: How AI Is Unifying Clinical Research Data
AI tools like TrialKit AI revolutionize clinical trials by integrating diverse data sources, including wearables, breaking silos, enhancing insights, and enabling smarter, more patient-centered research.
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Empowering Freenome: Large-Scale Data Quality And Compliance
Delve into five ways this biotech company was able to successfully deliver data quality and compliance for large-scale trials while developing next-generation blood tests for early cancer detection.
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Ready For Remote: eCOA Adapts To A Hybrid World
Due to the global health impact of COVID-19, many aspects of daily life have been moved to a hybrid model, meaning a mix of in-person and technology-enabled interactions In this blog, learn why eCOAs are especially well-suited for hybrid clinical trials.
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Unify Your Data With A Centralized eClinical Platform
Despite the challenges associated with large volumes of data, maintaining quality and regulatory compliance, and enhancing patient engagement, the solutions for managing them can be simple and efficient.
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Why Your eTMF Needs Role-Based Access
Discover how role-based access controls can offer a way for clinical teams to answer the tough questions from regulators, investors, and other parties.
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Achieving Self Sufficiency In Data Collection For Optinose
Uncover how this specialty pharmaceutical company was able to gain control over its EDC environment by adopting a solution their team could use in-house.
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Improving Quality And Efficiency In TMF Document Processing
By adhering to the principles outlined in this article, learn how teams can be better enabled to carry out efficient, high-quality processing of documents throughout the entirety of a study.
- What AI Can't Fix In Decentralized Clinical Trial Data
- Decentralized Trials Promised Less Burden. Did They Deliver?
- Wireless Connectivity Is A Data Integrity Issue, Not IT
- Why Clinical AI Validation Needs Portability Testing Beyond A Single Accuracy Score
- The Synchronization Problem Clinical Research Isn't Watching
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