Intel is testing a cloud-based platform as a service in conjunction with the Oregon Health & Science University (OHSU) that can help diagnose and treat individuals for cancer based on their genetic pre-dispositions.
The organisations want to develop a cloud service that can be used by healthcare practitioners to soak up a range of data including genetic information, data about a patient’s environment and lifestyle to deliver tailored cancer treatment plans quickly to those in need.
“The Collaborative Cancer Cloud is a precision medicine analytics platform that allows institutions to securely share patient genomic, imaging and clinical data for potentially lifesaving discoveries. It will enable large amounts of data from sites all around the world to be analyzed in a distributed way, while preserving the privacy and security of that patient data at each site,” explained Eric Dishman director of proactive health research at Intel.
“The end goal is to empower researchers and doctors to help patients receive a diagnosis based on their genome and potentially arm clinicians with the data needed for a targeted treatment plan. By 2020, we envision this happening in 24 hours — All in One Day. The focus is to help cancer centres worldwide—and eventually centers for other diseases—securely share their private clinical and research data with one another to generate larger datasets to benefit research and inform the specific treatment of their individual patients.”
Initially, Intel and the Knight Cancer Institute at Oregon Health & Science University (OHSU) will launch the Collaborative Cancer Cloud, but the organisations expect two more institutions will be on board by 2016.
From there, Intel said, the organisations hope to federate the cloud service with other healthcare service providers, and open it up for use to treat other diseases like Alzheimer’s.
“In the same timeframe, we also intend to deliver open source code contributions to ensure the broadest developer base possible is working on delivering interoperable solutions. Open sourcing this code will drive both interoperability across different clouds, and allow analytics across a broader set of data – resulting in better insights for personalized care,” Dishman said.