Scientific Computing and Data / AIR·MS (AI Ready Mount Sinai) / AIR·MS Technology
AIR·MS Technology
AIR·MS differentiates itself from other research platforms by leveraging the power of SAP HANA’s in-memory database. We offer features such as in-memory computing, a columnar database, full-text search over clinical notes (or any unstructured data), all with unparalleled performance. We also offer a set of SQL-based python libraries to create patient cohorts over multi-modal health data, as well as a set of python algorithms and functions for training models via the SAP HANA ML and the SAP PAL libraries. In addition, we are also utilizing the latest in cloud technologies offering our users a secure yet agile environment.
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