{"id":12936,"date":"2025-12-03T12:55:25","date_gmt":"2025-12-03T17:55:25","guid":{"rendered":"https:\/\/labs.icahn.mssm.edu\/minervalab\/?page_id=12936"},"modified":"2026-10-28T23:40:06","modified_gmt":"2026-10-29T03:40:06","slug":"air%c2%b7ms-and-minerva-acknowledgements","status":"publish","type":"page","link":"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%c2%b7ms-and-minerva-acknowledgements\/","title":{"rendered":"AIR\u00b7MS and Minerva Acknowledgements"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text admin_label=&#8221;Breadcrumb&#8221; _builder_version=&#8221;4.27.4&#8243; vertical_offset_tablet=&#8221;0&#8243; horizontal_offset_tablet=&#8221;0&#8243; hover_enabled=&#8221;0&#8243; z_index_tablet=&#8221;0&#8243; custom_css_free_form=&#8221;#breadcrumb {||  list-style: none;||  display: inline-block;||  margin-left: 0px;||}||#breadcrumb .icon {||  font-size: 14px;||}||#breadcrumb li {||  float: left;||}||#breadcrumb li a {||  color: #fff;||  display: block;||  background: #3498db;||  text-decoration: none;||  position: relative;||  height: 20px;||  line-height: 20px;||  padding: 0 10px 0 5px;||  text-align: center;||  margin-right: 23px;||}||#breadcrumb li:nth-child(even) a {||  background-color: #2980b9;||}||#breadcrumb li:nth-child(even) a:before {||  border-color: #2980b9;||  border-left-color: transparent;||}||#breadcrumb li:nth-child(even) a:after {||  border-left-color: #2980b9;||}||#breadcrumb li:first-child a {||  padding-left: 15px;||  -moz-border-radius: 4px 0 0 4px;||  -webkit-border-radius: 4px;||  border-radius: 4px 0 0 4px;||}||#breadcrumb li:first-child a:before {||  border: none;||}||#breadcrumb li:last-child a {||  padding-right: 15px;||  -moz-border-radius: 0 4px 4px 0;||  -webkit-border-radius: 0;||  border-radius: 0 4px 4px 0;||}||#breadcrumb li:last-child a:after {||  border: none;||}||#breadcrumb li a:before, #breadcrumb li a:after {||  content: %22%22;||  position: absolute;||  top: 0;||  border: 0 solid #3498db;||  border-width: 10px 10px;||  width: 0;||  height: 0;||}||#breadcrumb li a:before {||  left: -20px;||  border-left-color: transparent;||}||#breadcrumb li a:after {||  left: 100%;||  border-color: transparent;||  border-left-color: #3498db;||}||#breadcrumb li a:hover {||  background-color: #1abc9c;||}||#breadcrumb li a:hover:before {||  border-color: #1abc9c;||  border-left-color: transparent;||}||#breadcrumb li a:hover:after {||  border-left-color: #1abc9c;||}||#breadcrumb li a:active {||  background-color: #16a085;||}||#breadcrumb li a:active:before {||  border-color: #16a085;||  border-left-color: transparent;||}||#breadcrumb li a:active:after {||  border-left-color: #16a085;||}||&#8221; text_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; text_text_shadow_vertical_length_tablet=&#8221;0px&#8221; text_text_shadow_blur_strength_tablet=&#8221;1px&#8221; link_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; link_text_shadow_vertical_length_tablet=&#8221;0px&#8221; link_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ul_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ul_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ul_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ol_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ol_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ol_text_shadow_blur_strength_tablet=&#8221;1px&#8221; quote_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; quote_text_shadow_vertical_length_tablet=&#8221;0px&#8221; quote_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_2_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_2_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_2_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_3_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_3_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_3_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_4_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_4_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_4_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_5_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_5_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_5_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_6_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_6_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_6_text_shadow_blur_strength_tablet=&#8221;1px&#8221; box_shadow_horizontal_tablet=&#8221;0px&#8221; box_shadow_vertical_tablet=&#8221;0px&#8221; 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header_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_2_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_2_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_2_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_3_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_3_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_3_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_4_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_4_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_4_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_5_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_5_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_5_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_6_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_6_text_shadow_vertical_length_tablet=&#8221;0px&#8221; 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; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<div class=\"airms-new-doc\">\n<header class=\"site-header\"><span class=\"brand-tag\">Acknowledgements<\/span><\/p>\n<h1>\u00a0<\/h1>\n<h1><span style=\"color: #000080\"><strong>Cite and Acknowledge <\/strong><strong>AIR\u00b7MS and Scientific Computing and\u00a0<\/strong><strong>Data (Minerva) Resources <\/strong><strong>in\u00a0Publications\u00a0<\/strong><\/span><\/h1>\n<h2>\u00a0<\/h2>\n<h2><span style=\"color: #00aeef\"><strong>Why?<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000\">Please both acknowledge and cite AIR\u00b7MS and Scientific Computing and Data (Minerva) resources in publications. Recognition of use of these resources is important for acquiring funding for our research and development activities in AI-driven healthcare.\u00a0\u00a0<\/span><\/p>\n<h2>\u00a0<\/h2>\n<h2><span style=\"color: #00aeef\"><strong>How to Cite AIR\u00b7MS in your Publication<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000\">Please\u00a0cite the AIR\u00b7MS platform and technologies adopted in all your publications using:<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000\"><em>Guerrero, P., Ernebjerg, M., Holst, T., et al. The AIR\u00b7MS data platform for artificial intelligence in healthcare. JAMIA Open, 2025;8(6):ooaf145. <a style=\"color: #000000\" href=\"https:\/\/doi.org\/10.1093\/jamiaopen\/ooaf145\">https:\/\/doi.org\/10.1093\/jamiaopen\/ooaf145<\/a><\/em><\/span><\/li>\n<\/ul>\n<p><em>\u00a0<\/em><\/p>\n<h2><span style=\"color: #00aeef\"><strong>How to Cite Minerva in your Publication<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000\">Please\u00a0cite Minerva platform and the technologies adopted in all your publications using:\u00a0<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000\"><em>Kovatch P., Gai L., Cho HM., Fluder E., Jiang D. Optimizing High-Performance Computing Systems for Biomedical Workloads. IEEE Int Symp Parallel Distrib Process Workshops Phd Forum. 2020 May;2020:183-192. doi: 10.1109\/ipdpsw50202.2020.00040. Epub 2020 Jul 28. PMID: 33088611; PMCID: PMC7575271<\/em>\u00a0<\/span><\/li>\n<\/ul>\n<p><strong>\u00a0<\/strong><\/p>\n<h2><span style=\"color: #00aeef\"><strong>How to Acknowledge Funding Sources<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000\">All publications utilizing AIR\u00b7MS and Scientific Computing and Data (Minerva) resources must include the following acknowledgement:<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000\"><strong>AIR\u00b7MS<\/strong>: This work is supported in part through the use of the research platform AI-Ready Mount Sinai (AIR\u00b7MS) and the expertise provided by the team at the Hasso Plattner Institute for Digital Health at Mount Sinai (HPI\u00b7MS).<\/span><\/li>\n<li><span style=\"color: #000000\"><strong>Minerva:<\/strong> This work is supported in part through the Minerva computational and data resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai and supported by the Clinical and Translational Science Awards (CTSA) grant UL1TR004419 from the National Center for Advancing Translational Sciences.<\/span><\/li>\n<\/ul>\n<\/div>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scientific Computing and Data AIR\u2022MS (AI Ready Mount Sinai) Acknowledgements Acknowledgements \u00a0Cite and Acknowledge AIR\u00b7MS and Scientific Computing and\u00a0Data (Minerva) Resources in\u00a0Publications\u00a0\u00a0Why?Please both acknowledge and cite AIR\u00b7MS and Scientific Computing and Data (Minerva) resources in publications. Recognition of use of these resources is important for acquiring funding for our research and development activities in AI-driven [&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":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-12936","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/12936","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=12936"}],"version-history":[{"count":7,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/12936\/revisions"}],"predecessor-version":[{"id":15583,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/12936\/revisions\/15583"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/media?parent=12936"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}