David Vulcano wants clinical research to report AI failures with the same rigor it applies to adverse events. Here’s why that call-to-action matters.
- 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
- 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
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
-
Expanding Clinical Research In East Africa With Digital Innovation
Africa carries 25% of the world’s disease burden but hosts only 1% of clinical trials. Discover technology-driven strategies that close this gap and transform research access in underserved regions.
-
Myth Or Fact: The Future Of Electronic Data Capture
Explore how EDC platforms are empowering researchers to conduct efficient trials regardless of data volume, source diversity, or patient demographics.
-
Accelerated Approval As The New "Norm" In Gene Therapy For Rare Diseases
Gene therapy has revolutionized treatment prospects for rare genetic disorders by enabling corrective or replacement strategies at the molecular level.
-
7 eCOA Design Recommendations: Insights From Sites And CRAs
Signant joined a group of C-Path members including other eCOA solution providers, sponsors, and regulators for a GBTI project that revealed several opportunities to improve eCOA usability and flexibility.
-
Accelerating Your New Therapies Path To Market With Automation
Automation has become an essential tool for addressing the inefficiencies in traditional clinical trial methodologies, enabling trial teams to instead concentrate on critical tasks such as patient care.
-
Patient Voice Impacts Treatment Experience
Download this guide for five key recommendations on how to build an eCOA strategy in your next oncology trial that keeps your patient's voice front and center in their care.
-
The Future Of Data Linkage In Clinical Trial Evidence Generation
Explore key questions about the future of AI and data linkage in clinical trial evidence generation.
-
Aligning Global Standards For ICH E6(R3) And Artificial Intelligence
Global standards and AI are transforming clinical research. Learn why mastering ICH E6(R3) and risk-based compliance is critical for data integrity and future success.
-
Planning For Complex Change At Your Organization
With technology advancing clinical operations, proactive adaptation is paramount for organizations to remain at the forefront. How can your organization effectively navigate these evolving dynamics?
-
The Regulatory Governance Gap In Clinical Trial AI
Regulators are no longer questioning whether AI belongs in clinical trials; however, they’re demanding a governed infrastructure that makes every AI-driven decision auditable and defensible.
- AI In Clinical Trials: Stop Hyping It, Start Proving It
- 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
RECENT NEWSLETTERS
- 08.20.26 -- Clinical AI Validation, Trial Handoffs, And Smarter Study Builds
- 08.13.26 -- AI Urgency, Site-Sponsor Gaps, And Data That Saves Lives
- 08.06.26 -- Clinical Trial Tech: AI, Data Quality, And Faster Study Build
- 08.01.26 -- July's Top Clinical Trial Tech Reads
- 07.30.26 -- Clinical Tech Leadership: Site Burden, AI ROI, And Smarter Trial Tech