We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Advertisement

Custom Approach to Enhance Clinical Data Mining

Listen with
Speechify
0:00
Register for free to listen to this article
Thank you. Listen to this article using the player above.

Want to listen to this article for FREE?

Complete the form below to unlock access to ALL audio articles.

Read time: Less than a minute

LabConnect’s BioVisualization is a proprietary and customizable software platform that queries clinical sample database(s) in real time to analyze and provide visual interpretations of a project’s data. This unique platform is designed to quickly generate customizable figures, which can be downloaded and shared among colleagues and incorporated into reporting documents.

“Large, complex datasets generated throughout the course of a clinical trial make finding underlying trends challenging,” said Eric Hayashi, president and CEO. “LabConnect’s BioVisualization tool makes it possible to visualize this data and find greater meaning using fewer resources. This inventive platform creates an opportunity to make critical decisions a lot sooner.”

LabConnect’s white paper, “BioVisualization: Custom Approaches to Enhance Clinical Data Mining,” provides an overview of visual data analysis tools, their benefits and how this technology is being implemented by pharmaceutical companies of all sizes to make critical decisions faster and with lower costs. This informative white paper is now available for download.

“The scale of datasets has become overwhelming, making analysis of this information tedious and resource-draining,” said Hermioni Zouridis, senior scientist of scientific operations at LabConnect. “Unlike pre-programmed platforms, versatile visual data analytics tools enable researchers to generate customizable figures, helping identify trends in study results faster and ultimately making it possible to bring drugs to market sooner.”