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
-
Embracing Accessibility: The Future Of Clinical Trials
Explore the reasons why accessibility stands as a crucial pillar for the prosperity of biopharmaceutical and clinical research, having evolved into an all-encompassing industry imperative.
-
Empowering Oncology Research With The Right Technology Solutions
Explore how advanced technology solutions have the potential to simplify the operational aspects of oncology trials.
-
AI Maturity In Clinical Development
The future of clinical research relies on operationalizing AI in a scalable, sustainable manner, ensuring that both technological and human factors are harmonized in this transformative journey.
-
Optimizing Prader-Willi Syndrome Clinical Trials
Learn how Signant is helping to mitigate placebo responses and ensuring high-quality data to improve Prader-Willi syndrome (PWS) clinical trial success.
-
Mental Health Apps: Regulation And Validation Are Needed
Explore a proposed digital ecosystem that would balance rigorous validation with the urgent need for accessible mental health solutions, transforming the landscape into a resource for global well-being.
-
The Future Of eCOA & Wearable Devices
Learn how by looking at the advantages of wearables and where they are headed in the future, manufacturers, providers, and researchers can better anticipate collaboration efforts to bridge the gaps in existing processes and maximize the potential of eCOA wearables in clinical research.
-
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.
-
Top 5 Dos And Don'ts Of RTSM
Discover best practices and common pitfalls for sponsors and vendors in RTSM as well as how to optimize your study by leveraging vendor expertise, avoiding delays, and embracing innovation.
-
Clinical Data Needs Smart Automation Now for a Better AI Future
AI holds the potential to enhance clinical trial efficiency, but it relies on a foundation of clean data and intelligent automation to be effective.
-
Rare Disease Clinical Trials: Modern Design And Supply Chain
Gain insight from several contributing experts for overcoming unique obstacles in rare disease research and learn how to better develop strategies.
- 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