Digital pathology will open up new ways to get more information from tissue samples. The development of specific algorithms for automated interpretation of advanced stains will facilitate the objective analysis of images. By developing advanced algorithms and data management systems, we can help you translate the ‘Big Data’ promise into knowledge. This can be an important stepping-stone towards better health management and patient outcomes.
IntelliSite puts you there
IntelliSite’s image analysis applications offer tools that provide exciting new insights for research pathologists. In addition to our advanced algorithms, the solution’s open platform has spawned the development of tools from several partners.
Create new possibilities through data mining
Digital histopathology information can be combined and analyzed with other ‘Big Data’ healthcare information such as biology and genomics data. IntelliSite's interoperability features allow partners or vendors to work with us to exchange and analyze information that will help you to gain new insights.
Philips is collaborating with Mount Sinai Health System in New York, NY to advance clinical research through the development of a new digital pathology repository and advanced analytics. By digitizing hundreds of thousands of tissue samples and combining these with related diagnostic data, treatment data, and outcome data, unique insights may enable the development of predictive analytics to help further personalize patient care for complex diseases, including cancer.
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