Register Now: Beyond EDC: Designing a Connected Data Strategy for Predictive Clinical Development
|Articles|March 17, 2010

CNS Network selects ALPHADAS, Logos Technologies Early Phase EDC System

CNS Network has purchased ALPHADAS®, Logos Technologies Inc’s early phase, e-source data capture system and site automation tools to accelerate and streamline its clinical trials. ALPHADAS is to be implemented in their Orange County Research Center, California, USA.

“We welcome CNS Network as our most recent client partner,” said Giles Wilson, BEng, CEO of Logos Technologies Inc. “Providing real-time reporting and review to their clients and Sponsors was an important requirement and we look forward to life changing and life saving drugs reaching the market safely and more quickly.”

CNS Network is an independent research organization located in the greater Los Angeles metropolitan market. They conduct phase I-III clinical trials and specialize in early phase trials for disease populations. They are finishing construction of their 25,000 square foot, state-of-the-art facility and have decided to incorporate the ALPHADAS early phase unit automation product. They evaluated several other products in the sector and chose ALPHADAS because of its depth of product functionality and the experience of Logos Technologies.


Related to this article

What Needs to Happen Beyond the Clinical Trial Modernization Act
In this video interview, Kent Thoelke, CEO of Paradigm Health, calls for safe harbor protections, CMS reimbursement safeguards, and funding mechanisms modeled on EHR meaningful use to help community and rural institutions participate in research on par with academic centers.
Building AI Assistants Clinical Trial Teams Can Trust: Q&A with E.K. Koh, Suvoda
In this Q&A, E.K. Koh, chief product officer at Suvoda, discusses what separates a trustworthy AI assistant from one that adds risk, why curated clinical knowledge matters more than general-purpose flexibility, and what safeguards must be in place when assistants move from answering questions to taking actions in clinical trial systems.