{"id":11501,"date":"2025-08-25T12:00:24","date_gmt":"2025-08-25T16:00:24","guid":{"rendered":"https:\/\/labs.icahn.mssm.edu\/minervalab\/?page_id=11501"},"modified":"2025-10-07T12:06:37","modified_gmt":"2025-10-07T16:06:37","slug":"air%c2%b7ms-technology","status":"publish","type":"page","link":"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%c2%b7ms-technology\/","title":{"rendered":"AIR\u00b7MS: Technology"},"content":{"rendered":"<p>[et_pb_section bb_built=&#8221;1&#8243; inner_width=&#8221;auto&#8221; inner_max_width=&#8221;1080px&#8221;][et_pb_row][et_pb_column type=&#8221;4_4&#8243; custom_padding__hover=&#8221;|||&#8221; custom_padding=&#8221;|||&#8221;][et_pb_text admin_label=&#8221;Breadcrumb&#8221; _builder_version=&#8221;4.9.0&#8243; text_text_shadow_horizontal_length=&#8221;text_text_shadow_style,%91object Object%93&#8243; text_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; text_text_shadow_vertical_length=&#8221;text_text_shadow_style,%91object Object%93&#8243; text_text_shadow_vertical_length_tablet=&#8221;0px&#8221; 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header_5_text_shadow_blur_strength=&#8221;header_5_text_shadow_style,%91object Object%93&#8243; header_5_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_6_text_shadow_horizontal_length=&#8221;header_6_text_shadow_style,%91object Object%93&#8243; header_6_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_6_text_shadow_vertical_length=&#8221;header_6_text_shadow_style,%91object Object%93&#8243; header_6_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_6_text_shadow_blur_strength=&#8221;header_6_text_shadow_style,%91object Object%93&#8243; header_6_text_shadow_blur_strength_tablet=&#8221;1px&#8221; box_shadow_horizontal_tablet=&#8221;0px&#8221; box_shadow_vertical_tablet=&#8221;0px&#8221; box_shadow_blur_tablet=&#8221;40px&#8221; box_shadow_spread_tablet=&#8221;0px&#8221; vertical_offset_tablet=&#8221;0&#8243; horizontal_offset_tablet=&#8221;0&#8243; z_index_tablet=&#8221;0&#8243; custom_margin=&#8221;0px||25px|&#8221; custom_padding=&#8221;0px|||&#8221;]<\/p>\n<p><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/\">Scientific Computing and Data<\/a> \/ <a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/air-ms-artificial-intelligence-ready-mount-sinai\/\">AIR<strong>\u00b7<\/strong>MS (AI Ready Mount Sinai)<\/a> \/ AIR\u00b7MS Technology<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; 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header_5_text_shadow_horizontal_length=&#8221;header_5_text_shadow_style,%91object Object%93&#8243; header_5_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_5_text_shadow_vertical_length=&#8221;header_5_text_shadow_style,%91object Object%93&#8243; header_5_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_5_text_shadow_blur_strength=&#8221;header_5_text_shadow_style,%91object Object%93&#8243; header_5_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_6_text_shadow_horizontal_length=&#8221;header_6_text_shadow_style,%91object Object%93&#8243; header_6_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_6_text_shadow_vertical_length=&#8221;header_6_text_shadow_style,%91object Object%93&#8243; header_6_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_6_text_shadow_blur_strength=&#8221;header_6_text_shadow_style,%91object Object%93&#8243; header_6_text_shadow_blur_strength_tablet=&#8221;1px&#8221; box_shadow_horizontal_tablet=&#8221;0px&#8221; box_shadow_vertical_tablet=&#8221;0px&#8221; box_shadow_blur_tablet=&#8221;40px&#8221; box_shadow_spread_tablet=&#8221;0px&#8221; vertical_offset_tablet=&#8221;0&#8243; horizontal_offset_tablet=&#8221;0&#8243; z_index_tablet=&#8221;0&#8243; background_pattern_color=&#8221;rgba(0,0,0,0.2)&#8221; background_mask_color=&#8221;#ffffff&#8221;]<\/p>\n<h1><span style=\"color: #00aeef\"><strong>AIR\u00b7MS Technology<\/strong><\/span><\/h1>\n<p>AIR\u00b7MS differentiates itself from other research\u00a0platforms by leveraging the power of SAP HANA&#8217;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\u00a0and 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\u00a0environment.<\/p>\n<p><span style=\"color: #00aeef\"><strong>Helpful Links<\/strong><\/span><\/p>\n<ul>\n<li><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%e2%80%a7ms-sap-hana-in-memory-database\/\">SAP-HANA In-Memory Database<\/a><\/li>\n<li><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%e2%80%a7ms-secure-cloud-infrastructure\/\">Secure Cloud Infrastructure<\/a><\/li>\n<li><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%e2%80%a7ms-python-libraries\/\">Python Libraries<\/a><\/li>\n<li><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%e2%80%a7ms-benchmarking\/\">Benchmarking<\/a><\/li>\n<li><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%c2%b7ms-documentation\/\">Additional Documentation<\/a><\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p><div class=\"et_pb_row et_pb_row_0 et_pb_row_empty\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div> Scientific Computing and Data \/ AIR\u00b7MS (AI Ready Mount Sinai) \/ AIR\u00b7MS Technology AIR\u00b7MS TechnologyAIR\u00b7MS differentiates itself from other research\u00a0platforms by leveraging the power of SAP HANA&#8217;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 [&hellip;]<\/p>\n","protected":false},"author":700,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<p>AIR\u00b7MS differentiates itself from other research\u00a0platforms 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\u00a0and functions for training models via the SAP HANA ML and the SAP PAL libraries.<\/p><p>In addition, we are also utilizing the latest in cloud technologies offering our users a secure yet agile\u00a0environment.<\/p><p><strong>Helpful Links<\/strong><\/p><ul><li><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%e2%80%a7ms-sap-hana-in-memory-database\/\">SAP-HANA In-Memory Database<\/a><\/li><li><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%e2%80%a7ms-secure-cloud-infrastructure\/\">Secure Cloud Infrastructure<\/a><\/li><li><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%e2%80%a7ms-python-libraries\/\">Python Libraries<\/a><\/li><li><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%e2%80%a7ms-benchmarking\/\">Benchmarking<\/a><\/li><\/ul>","_et_gb_content_width":"","footnotes":""},"class_list":["post-11501","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/11501","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/users\/700"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/comments?post=11501"}],"version-history":[{"count":10,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/11501\/revisions"}],"predecessor-version":[{"id":12425,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/11501\/revisions\/12425"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/media?parent=11501"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}