Michael Siegenthaler

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—In industries such as healthcare, there is a need to electronically share privacy-sensitive data across distinct organizations. We show how this can be done while allowing organizations to keep their legacy databases and maintain ownership of the data that they currently store. Without sending or mirroring data to any trusted, centralized entity, we(More)
Cloud computing provides us with general purpose storage and server hosting platforms at a reasonable price. We explore the possibility of tapping these resources for the purpose of hosting source code repositories for individual projects as well as entire open source communities. An analysis of storage costs is presented, and a complete hosting solution is(More)
—In the healthcare industry and others, sensitive private information must be stored and shared between various organizations in the course of running their business. We have developed an architecture in which distributed data can be queried as if it resided in a single centralized database, while revealing minimal information beyond the answer to the(More)
Background—Hypertrophic cardiomyopathy (HCM) with midventricular hypertrophy is an uncommon phenotypic variant of the disease. Midventricular hypertrophy predisposes to intracavitary obstruction and downstream hemodynamic sequelae.
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