Philips speeds up biomarker discovery with upgrade to the Xplore platform

Dutch global health tech provider Royal Philips has upgraded its Xplore Web-based informatics platform for drug research and biomarker discovery to provide users with enhancing search capabilities, barcode support, data visualization tools, and third party image analysis vendor integration.

The new Xplore v4.0 is suited for today’s biomarker discovery processes which increasingly rely on tissue pathology and analysis of large volumes of tissue samples, according to the company.

The computational power of Xplore will enable researchers to integrate data from multiple sources including digital pathology and tissue imaging.

Xplore is an integrated research application that allows institutions to store clinical, image analysis, molecular and summary genomic data with research pathology whole slide images or tissue microarray (TMA) studies.

Enhanced search capabilities and data mining tools will help researchers quantify disease specific signatures and identify clinically significant cohorts more quickly. The web-based platform allows researchers to connect across institutions for multisite collaboration and knowledge sharing on a global scale.

“Delivering on the promise of personalized medicine means that multiple data sources need to be integrated and analyzed,” said Russ Granzow, general manager of Philips Digital Pathology Solutions. “Computational pathology research tools will be essential to move forward in our increasingly complex medical and research environment.”

The open platform structure of Xplore offers integration with third party image analysis vendors, such as Definiens Tissue Studio and Indica Halo. Additionally, researchers have the flexibility to use images from multiple digital pathology scanner vendors, including the high-quality images from the Philips IntelliSite Pathology Solution.

Customers have the option to purchase the basic Xplore v4.0 package or with custom additions including a dedicated TMA module for enabling faster and streamlined research.

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