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Development and Testing of a Collaborative Digital Pathology Network for Research, Education and Clinical Care

Michael Riben

2 Collaborator(s)

Funding source

University of Texas MD Anderson Cancer Center
In this era of collaborative science, tools that facilitate efficient information sharing among collaborators accelerates knowledge discovery, integration, and re-use. A collaborative digital pathology network (DPN) infrastructure is a cornerstone for an enterprise collaboration framework (ECF) to support cancer biomarker research, drug-discovery, and personalized cancer therapy. We propose to design, deploy and test a collaborative digital pathology network that can scale globally to integrate our entire sister institution network (SIN) and form the cornerstone of an ECF for research, education and clinical care. The advantages to a digital pathology network can only be realized by overcoming significant challenges, which are best addressed utilizing real-world pilot implementations. The SIN provides a distinct advantage to successfully addressing these challenges because of the unified mission and enhanced communication required to succeed. We will utilize whole slide scanners and collaborative image management/workflow software to test several use-cases for research, education and clinical care.

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