{"id":11455,"date":"2025-08-25T11:05:42","date_gmt":"2025-08-25T15:05:42","guid":{"rendered":"https:\/\/labs.icahn.mssm.edu\/minervalab\/?page_id=11455"},"modified":"2026-03-30T17:00:42","modified_gmt":"2026-03-30T21:00:42","slug":"air%e2%80%a7ms-news-and-updates","status":"publish","type":"page","link":"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%e2%80%a7ms-news-and-updates\/","title":{"rendered":"AIR\u2027MS: News and Updates"},"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;4.27.4&#8243; background_pattern_color=&#8221;rgba(0,0,0,0.2)&#8221; background_mask_color=&#8221;#ffffff&#8221; 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; text_text_shadow_blur_strength=&#8221;text_text_shadow_style,%91object Object%93&#8243; text_text_shadow_blur_strength_tablet=&#8221;1px&#8221; link_text_shadow_horizontal_length=&#8221;link_text_shadow_style,%91object Object%93&#8243; link_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; link_text_shadow_vertical_length=&#8221;link_text_shadow_style,%91object Object%93&#8243; link_text_shadow_vertical_length_tablet=&#8221;0px&#8221; link_text_shadow_blur_strength=&#8221;link_text_shadow_style,%91object Object%93&#8243; link_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ul_text_shadow_horizontal_length=&#8221;ul_text_shadow_style,%91object Object%93&#8243; ul_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ul_text_shadow_vertical_length=&#8221;ul_text_shadow_style,%91object Object%93&#8243; ul_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ul_text_shadow_blur_strength=&#8221;ul_text_shadow_style,%91object Object%93&#8243; ul_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ol_text_shadow_horizontal_length=&#8221;ol_text_shadow_style,%91object Object%93&#8243; ol_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ol_text_shadow_vertical_length=&#8221;ol_text_shadow_style,%91object Object%93&#8243; ol_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ol_text_shadow_blur_strength=&#8221;ol_text_shadow_style,%91object Object%93&#8243; ol_text_shadow_blur_strength_tablet=&#8221;1px&#8221; quote_text_shadow_horizontal_length=&#8221;quote_text_shadow_style,%91object Object%93&#8243; quote_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; quote_text_shadow_vertical_length=&#8221;quote_text_shadow_style,%91object Object%93&#8243; quote_text_shadow_vertical_length_tablet=&#8221;0px&#8221; quote_text_shadow_blur_strength=&#8221;quote_text_shadow_style,%91object Object%93&#8243; quote_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_text_shadow_horizontal_length=&#8221;header_text_shadow_style,%91object Object%93&#8243; header_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_text_shadow_vertical_length=&#8221;header_text_shadow_style,%91object Object%93&#8243; header_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_text_shadow_blur_strength=&#8221;header_text_shadow_style,%91object Object%93&#8243; header_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_2_text_shadow_horizontal_length=&#8221;header_2_text_shadow_style,%91object Object%93&#8243; header_2_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_2_text_shadow_vertical_length=&#8221;header_2_text_shadow_style,%91object Object%93&#8243; header_2_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_2_text_shadow_blur_strength=&#8221;header_2_text_shadow_style,%91object Object%93&#8243; header_2_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_3_text_shadow_horizontal_length=&#8221;header_3_text_shadow_style,%91object Object%93&#8243; header_3_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_3_text_shadow_vertical_length=&#8221;header_3_text_shadow_style,%91object Object%93&#8243; header_3_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_3_text_shadow_blur_strength=&#8221;header_3_text_shadow_style,%91object Object%93&#8243; header_3_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_4_text_shadow_horizontal_length=&#8221;header_4_text_shadow_style,%91object Object%93&#8243; header_4_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_4_text_shadow_vertical_length=&#8221;header_4_text_shadow_style,%91object Object%93&#8243; header_4_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_4_text_shadow_blur_strength=&#8221;header_4_text_shadow_style,%91object Object%93&#8243; header_4_text_shadow_blur_strength_tablet=&#8221;1px&#8221; 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;]<\/p>\n<p><a href=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/\">Scientific Computing and Data<\/a>\u00a0\/\u00a0<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>\u00a0\/ News and Updates<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row][et_pb_column type=&#8221;4_4&#8243; custom_padding__hover=&#8221;|||&#8221; custom_padding=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; background_pattern_color=&#8221;rgba(0,0,0,0.2)&#8221; background_mask_color=&#8221;#ffffff&#8221; 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; text_text_shadow_blur_strength=&#8221;text_text_shadow_style,%91object Object%93&#8243; text_text_shadow_blur_strength_tablet=&#8221;1px&#8221; link_text_shadow_horizontal_length=&#8221;link_text_shadow_style,%91object Object%93&#8243; link_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; link_text_shadow_vertical_length=&#8221;link_text_shadow_style,%91object Object%93&#8243; link_text_shadow_vertical_length_tablet=&#8221;0px&#8221; link_text_shadow_blur_strength=&#8221;link_text_shadow_style,%91object Object%93&#8243; link_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ul_text_shadow_horizontal_length=&#8221;ul_text_shadow_style,%91object Object%93&#8243; ul_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ul_text_shadow_vertical_length=&#8221;ul_text_shadow_style,%91object Object%93&#8243; ul_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ul_text_shadow_blur_strength=&#8221;ul_text_shadow_style,%91object Object%93&#8243; ul_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ol_text_shadow_horizontal_length=&#8221;ol_text_shadow_style,%91object Object%93&#8243; ol_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ol_text_shadow_vertical_length=&#8221;ol_text_shadow_style,%91object Object%93&#8243; ol_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ol_text_shadow_blur_strength=&#8221;ol_text_shadow_style,%91object Object%93&#8243; ol_text_shadow_blur_strength_tablet=&#8221;1px&#8221; quote_text_shadow_horizontal_length=&#8221;quote_text_shadow_style,%91object Object%93&#8243; quote_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; quote_text_shadow_vertical_length=&#8221;quote_text_shadow_style,%91object Object%93&#8243; quote_text_shadow_vertical_length_tablet=&#8221;0px&#8221; quote_text_shadow_blur_strength=&#8221;quote_text_shadow_style,%91object Object%93&#8243; quote_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_text_shadow_horizontal_length=&#8221;header_text_shadow_style,%91object Object%93&#8243; header_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_text_shadow_vertical_length=&#8221;header_text_shadow_style,%91object Object%93&#8243; header_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_text_shadow_blur_strength=&#8221;header_text_shadow_style,%91object Object%93&#8243; header_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_2_text_shadow_horizontal_length=&#8221;header_2_text_shadow_style,%91object Object%93&#8243; header_2_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_2_text_shadow_vertical_length=&#8221;header_2_text_shadow_style,%91object Object%93&#8243; header_2_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_2_text_shadow_blur_strength=&#8221;header_2_text_shadow_style,%91object Object%93&#8243; header_2_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_3_text_shadow_horizontal_length=&#8221;header_3_text_shadow_style,%91object Object%93&#8243; header_3_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_3_text_shadow_vertical_length=&#8221;header_3_text_shadow_style,%91object Object%93&#8243; header_3_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_3_text_shadow_blur_strength=&#8221;header_3_text_shadow_style,%91object Object%93&#8243; header_3_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_4_text_shadow_horizontal_length=&#8221;header_4_text_shadow_style,%91object Object%93&#8243; header_4_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_4_text_shadow_vertical_length=&#8221;header_4_text_shadow_style,%91object Object%93&#8243; header_4_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_4_text_shadow_blur_strength=&#8221;header_4_text_shadow_style,%91object Object%93&#8243; header_4_text_shadow_blur_strength_tablet=&#8221;1px&#8221; 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;]<\/p>\n<h1><strong>News and Updates<\/strong><\/h1>\n<hr \/>\n<div class=\"R1UVb\">\n<h2 class=\"R1UVb\"><b data-olk-copy-source=\"MessageBody\">Appointment of Mr. Herve DiBello as Director of Technology, AI-Ready Mount Sinai (AIR\u00b7MS), and Dr. Ashwin Sawant as Medical Director, AI-Ready Mount Sinai (AIR\u00b7MS).<\/b><\/h2>\n<\/div>\n<h3><strong>March 2026<\/strong><\/h3>\n<div>We are pleased to announce that Mr. Herve DiBello has been appointed as Director of Technology, AI-Ready Mount Sinai (AIR\u00b7MS), and Dr. Ashwin Sawant has been appointed as Medical Director, AI-Ready Mount Sinai (AIR\u00b7MS).<\/div>\n<div>\n<p><strong>Herve DiBello<\/strong>\u00a0brings 30 years of experience in the technology sector as a senior data engineer. Prior to joining Mount Sinai, he spent a significant portion of his IT career as a consultant for Systems, Applications, and Products in Data Processing (SAP), where he worked across various technologies and industries, focusing exclusively on healthcare solutions in recent years. In his new role, Mr. DiBello will lead an engineering team in bringing new data modalities to AIR\u00b7MS and serve as chief technical architect for new technology solutions integrated into the platform. His expertise will be pivotal in advancing the technological capabilities of AIR\u00b7MS and ensuring its seamless integration with healthcare research initiatives.<\/p>\n<\/div>\n<div><strong>Dr. Ashwin Sawant<\/strong>\u00a0is a practicing internist and informaticist with deep expertise at the intersection of clinical care, data, and technology. In this role, he will work closely with researchers and clinicians to understand their scientific, clinical, and operational needs, and to ensure those needs are effectively supported by the AI-enabled platform. In addition, Dr. Sawant will partner with the engineering team led by Mr. DiBello to guide the integration of diverse data modalities, helping ensure that the platform is clinically grounded, scalable, and aligned with real-world use cases.<\/div>\n<div>\u00a0<\/div>\n<div class=\"x_elementToProof\">Please join us in welcoming Mr. DiBello and Dr. Sawant in their new roles. We look forward to their leadership<\/div>\n<div class=\"x_elementToProof\">and perspective as they spearhead the next phase of the AIR\u00b7MS platform.<\/div>\n<div>\u00a0<\/div>\n<div>\u00a0<\/div>\n<hr \/>\n<div>\n<h2>\u00a0<\/h2>\n<h2><strong>NEW!! Spring 2026 AIR\u00b7MS Training Sessions<img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-13553 alignright\" src=\"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-content\/uploads\/sites\/342\/2026\/03\/AIR-MS-Jacket-e1773764167965-268x300.jpg\" alt=\"\" width=\"268\" height=\"300\" \/><\/strong><\/h2>\n<p>We will be holding 3 AIR\u00b7MS training sessions this Spring. These sessions will introduce you to the AIR\u00b7MS environment and AI-related tools through live demonstrations you can follow along with. Each session will be offered in a hybrid format, with our team onsite to provide support and answer questions. Material will be provided 1 week prior to each session for registered users.<\/p>\n<h4><strong>Register and attend the Spring 2026 training and use AIR\u00b7MS tools and you will be eligible to receive a free exclusive AIR\u00b7MS jacket!<\/strong><\/h4>\n<p>\u00a0<\/p>\n<h4><strong>Session 1: Getting Started with\u00a0AIR\u00b7MS: Health Data Fundamentals<\/strong><\/h4>\n<p><strong>Tuesday April 7 (9:00 am \u2013 10:00 am) | Hybrid In-Person &amp; Zoom<\/strong><\/p>\n<ul>\n<li><strong>Zoom attendees:\u00a0<\/strong><a href=\"https:\/\/mssm.zoom.us\/webinar\/register\/WN_7CQ1ouZFRb-_qJ5SZ7RJ6A#\/registration\"><strong>Register here for Getting Started with AIR\u00b7MS: Health Data Fundamentals<\/strong><\/a><\/li>\n<li><strong>In-Person Attendees (Annenberg Classroom 10-70):<\/strong><a href=\"https:\/\/forms.gle\/6DL83kbNGLwNMoaw5\"><strong>\u00a0Register here<\/strong><\/a><\/li>\n<\/ul>\n<h4><strong>Session 2: From AI Agents to AIR\u00b7MS: Leveraging Large Language Models<\/strong><\/h4>\n<p><strong>Tuesday April 14 (9:00 am \u2013 10:00 am) | Hybrid In-Person &amp; Zoom\u00a0<\/strong><\/p>\n<ul>\n<li><strong>Zoom attendees:\u00a0<\/strong><a href=\"https:\/\/mssm.zoom.us\/webinar\/register\/WN_eSrdtjZ7SrebxR6OGQq0Wg\"><strong>Register here for From AI Agents to AIR\u00b7MS: Leveraging Large Language Models (LLM)<\/strong><\/a><\/li>\n<li><strong>In-Person Attendees (Annenberg Classroom 10-70):<\/strong><a href=\"https:\/\/forms.gle\/6DL83kbNGLwNMoaw5\"><strong>\u00a0Register here<\/strong><\/a><\/li>\n<\/ul>\n<h4><strong>Session 3: Advanced AIR\u00b7MS: Deep Dive into Data Modalities and AI\/Machine Learning (ML) Applications<\/strong><\/h4>\n<p><strong>Tuesday April 21 (9:00 am \u2013 10:00 am) | Hybrid In-Person &amp; Zoom\u00a0<\/strong><\/p>\n<ul>\n<li><strong>Zoom attendees:\u00a0<\/strong><a href=\"https:\/\/mssm.zoom.us\/webinar\/register\/WN_jwITpgqcS9KKKeqj_wzltw\"><strong>Register here for Advanced AIR\u00b7MS: Multimodal Data<\/strong><\/a><\/li>\n<li><strong>In-Person Attendees (Annenberg Classroom 10-70):<\/strong><strong><a href=\"https:\/\/forms.gle\/6DL83kbNGLwNMoaw5\">Register here<\/a><\/strong><\/li>\n<\/ul>\n<p>Please register ahead of time for sessions. Direct any questions through our\u00a0<b data-olk-copy-source=\"MessageBody\"><a id=\"OWA60c0e11c-ded6-b8ba-e342-4d0019d3b6dd\" title=\"https:\/\/hpims.atlassian.net\/servicedesk\/customer\/portal\/67\" href=\"https:\/\/hpims.atlassian.net\/servicedesk\/customer\/portal\/67\" target=\"_blank\" rel=\"noopener noreferrer\" data-linkindex=\"3\" data-auth=\"NotApplicable\">new\u00a0<span class=\"markj3crvil53\" data-markjs=\"true\" data-ogac=\"\" data-ogab=\"\" data-ogsc=\"\" data-ogsb=\"\">ticketing<\/span>\u00a0support\u00a0<span class=\"markxhxnyk76t\" data-markjs=\"true\" data-ogac=\"\" data-ogab=\"\" data-ogsc=\"\" data-ogsb=\"\">system<\/span><\/a>.<\/b><\/p>\n<p>\u00a0<\/p>\n<\/div>\n<div>\n<hr \/>\n<h2>\u00a0<\/h2>\n<h2 id=\"x_isPasted\" class=\"x_default\"><strong><span data-olk-copy-source=\"MessageBody\">ALERT &#8211; MARK YOUR CALENDARS!<\/span><\/strong><\/h2>\n<h2 class=\"x_default\"><strong><span data-olk-copy-source=\"MessageBody\">Digital Health Partnership Workshop and Datathon\/Hackathon New York 2026<\/span><\/strong><\/h2>\n<\/div>\n<div>\n<p id=\"x_isPasted\" class=\"x_default\">Mark your calendars for\u00a0<strong>May 4\u20138, 2026<\/strong>: The Digital Health Partnership is coming to New York at the Mount Sinai Health System.<\/p>\n<p>Stay tuned for more details!<\/p>\n<p>\u00a0<\/p>\n<hr \/>\n<\/div>\n<p>\u00a0<\/p>\n<h2><strong>January 2026<\/strong><\/h2>\n<p>Artificial Intelligence \u2013 Ready Mount Sinai (AIR\u00b7MS). One Platform. Rapid Answers. Improved Research.<\/p>\n<p id=\"x_isPasted\" class=\"x_default\">Research flourishes when ideas flow naturally into evidence, and each discovery builds on the last. AIR\u00b7MS has been created to bring this vision to life \u2014a platform where data, analysis, and collaboration converge effortlessly, providing Mount Sinai with a single environment in which complex research can be conducted with clarity, efficiency, and speed.<\/p>\n<p class=\"x_default\">At its core, AIR\u00b7MS combines clinical records, imaging, signals, and other research data in one unified system designed for both scale and performance. Large datasets reside in memory, allowing analyses to be performed interactively and iteratively. By supporting both relational and graph-based approaches, AIR\u00b7MS captures the richness of clinical and biological relationships, enabling researchers to explore questions in a manner that more closely reflects the real world.<\/p>\n<p>\u00a0<\/p>\n<h2><strong><span data-olk-copy-source=\"MessageBody\">AIR\u00b7MS Champions<\/span><\/strong><\/h2>\n<hr \/>\n<p>\u00a0<\/p>\n<p><strong>Lothar H. Wieler, DVM<\/strong><\/p>\n<p>\u201cGreat solutions come with great minds, candor, integrity, and sincere teamwork that make them come into living. Through collaborative measures AIR\u00b7MS got momentum, and with our trusted partnership we will leverage this platform based on high quality data to generate excellent information, serving public health and health care.\u201d<\/p>\n<p><strong>Dr. Ben Illigens<\/strong><\/p>\n<p>\u201cToo often, biomedical research is slowed by fragmented data, complex access, and disconnected tools. AIR\u00b7MS addresses this challenge by making one of the world\u2019s richest clinical datasets accessible in a high-performance, AI-ready environment. We\u00b4re now on track in onboarding 1,000 new users in 2026 \u2013 this marks a turning point in how we scale real-world evidence and empower researchers with everything they need on one platform to turn data into impact.\u201d<\/p>\n<p><strong>Girish N. Nadkarni, MD, MPH<\/strong><\/p>\n<p>\u201cThe success of AIR\u00b7MS is grounded in teamwork. Advancing AI in real-world clinical settings requires clinicians, data scientists, engineers, and operational leaders working as one. It\u2019s the collective effort, aligned around clear goals, that allows us to move from ideas to impact.\u201d<\/p>\n<hr \/>\n<p>\u00a0<\/p>\n<h2 id=\"x_isPasted\" class=\"x_default-heading3\"><strong><span data-olk-copy-source=\"MessageBody\">AIR\u00b7MS Researcher Stories: Real Research. Real Impact.<\/span><\/strong><\/h2>\n<p>To grow the AIR\u00b7MS (AI- Ready Mount Sinai) research community, we are launching the AIR\u00b7MS Researcher Stories campaign \u2013 putting researchers and their real-world use cases at the center.<\/p>\n<p>We invite all AIR\u00b7MS users to share how they use the platform to access multimodal clinical data and advance AI-driven biomedical research. Selected stories will be featured across our website,\u00a0<span class=\"mark8hi057vx4\" data-markjs=\"true\" data-ogac=\"\" data-ogab=\"\" data-ogsc=\"\" data-ogsb=\"\">news<\/span>letter, and social channels \u2013 strengthening peer learning and community visibility.<\/p>\n<p>As a small thank-you, the first 50 researchers who share their story will receive an AIR\u00b7MS Researcher Trophy: a limited-edition mug celebrating community contribution and innovation.<\/p>\n<p>With a target of 1,000 AIR\u00b7MS users, we believe real stories from real researchers are the most powerful way to grow \u2013 together.<\/p>\n<p>\u00a0<\/p>\n<hr \/>\n<h2>\u00a0<\/h2>\n<h2 id=\"x_isPasted\" class=\"x_default\"><strong><span data-olk-copy-source=\"MessageBody\">Mount Sinai User Requirement Workshop \u2013 HPI Bachelor students visiting Mount Sinai Health Systems in New York<\/span><\/strong><\/h2>\n<p id=\"x_isPasted\" class=\"x_default\">&#8220;<em>The eight of you need to go to New York.&#8221;<\/em><br \/>That was what Lothar Wieler said in a meeting about two months ago. We followed that advice \u2013 and we are definitely not complaining.<\/p>\n<p class=\"x_default\">\u201cThe eight\u201d turned out to be Charlotte Beurer, Markus R\u00fcnzel, Tobias Rademacher, Peer Schild, Simon Kossack, Jan Berndt, Daniel Cermann and Nele Rodenhagen. And so, in January, we suddenly found ourselves in New York City, where our Bachelor project moved from shared documents and video calls to hospital corridors and real conversations.<\/p>\n<p>\u00a0<\/p>\n<p>Under the supervision of Lothar Wieler, we are developing a tool that supports Infection Preventionists in gaining a clearer overview of infection chains of specific pathogens especially MRSA. The aim is to turn complex data into something that is actually useful in everyday hospital work \u2013 the helping not only to respond to ongoing outbreaks but also to recognize risks early and prevent them.<\/p>\n<h2><strong><span data-olk-copy-source=\"MessageBody\">AIR\u00b7MS With New Dataset<\/span><\/strong><\/h2>\n<hr \/>\n<p>\u00a0<\/p>\n<h2 id=\"x_isPasted\" class=\"x_default\"><strong><span data-olk-copy-source=\"MessageBody\">Uncovering Treatment Resistance in Psychiatry with AIR\u00b7MS \u2013<span id=\"x_isPasted\">Zeinab Soleimani, PhD Candidate, Hasso Plattner Institute<\/span><\/span><\/strong><\/h2>\n<hr \/>\n<p>\u00a0<\/p>\n<p id=\"x_isPasted\" class=\"x_default\">Zeinab Soleimani\u2019s research focuses on one of psychiatry\u2019s most pressing challenges:\u00a0<strong>understanding treatment resistance across anxiety, depression, bipolar, and schizophrenia spectrum disorders<\/strong>. These conditions often show overlapping symptoms and highly individual disease trajectories, making personalized treatment decisions difficult.<\/p>\n<p class=\"x_default\">Using\u00a0<strong>AIR\u00b7MS<\/strong>, Zeinab analyzes Electronic Health Records (EHR) and clinical notes from the Mount Sinai Health System to identify patterns of treatment\u00a0<span id=\"x_isPasted\">resistance \u2013 defined by symptom alleviation, side effects, and patient adherence. Her work combines&#8230;<\/span><\/p>\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\u00a0\/\u00a0AIR\u00b7MS (AI Ready Mount Sinai)\u00a0\/ News and Updates <div class=\"et_pb_row et_pb_row_1 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> News and UpdatesAppointment of Mr. Herve DiBello as Director of Technology, AI-Ready Mount Sinai (AIR\u00b7MS), and Dr. Ashwin Sawant as Medical Director, AI-Ready Mount Sinai (AIR\u00b7MS).March 2026We are pleased to announce that Mr. Herve DiBello has been appointed as Director of Technology, [&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-11455","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/11455","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=11455"}],"version-history":[{"count":83,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/11455\/revisions"}],"predecessor-version":[{"id":13662,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/11455\/revisions\/13662"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/media?parent=11455"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}