Abstract
The PAPAyA platform has been designed to ingest, store and process in silico large genomics datasets using analysis algorithms based on pre-defined knowledge databases with the goal to offer personalized therapy guidance to physicians in particular for cancers and infectious diseases. This new highly scalable, secure and extensible framework is deployed on a cloud-based digital health platform that provides generic provisioning and hosting services, identity and access management, workflow orchestration, device cloud capabilities, notifications, scheduling, logging, auditing, metering as well as specific patient demographic, clinical and wellness data services that can be combined with the genomics analytics results.
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