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News and Updates<\/strong><\/span><\/h1>\n\n\n\n\n\n\n\n
\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\nDigital Health Partnership Conference \u2013 Potsdam 2026<\/span><\/strong><\/span><\/h3>\nSave-the-dates!<\/strong><\/span><\/h3>\nOctober 12-16, 2026<\/b><\/span><\/h4>\nThe Digital Health Partnership Conference \u2013 Potsdam 2026, will be at the Hasso-Plattner-Institute in Potsdam, Germany.<\/span><\/p>\nStay tuned for more details!<\/span><\/p>\n\u00a0<\/p>\n
\nDigital He<\/span>alth<\/span><\/a> Partnership Conference \u2013 New York 2026<\/span><\/strong><\/h3>\nMay 4-8, 2026<\/b><\/span><\/h4>\nThe 2026 Digital Health Partnership Conference brought together researchers, clinicians, trainees, and collaborators from the Hasso Plattner Institute, Mount Sinai Health System, and Data4Life at the Icahn School of Medicine at Mount Sinai.<\/span><\/p>\nThe week began with a two-day ECG + EHR Hackathon, where teams used AI-Ready Mount Sinai (AIR\u00b7MS) and the Minerva High-Performance Computing platform to tackle a real-world clinical AI challenge. The winning team included HPI master’s students<\/span> Dinh Trung Hieu Le and Chris-Bennet Fleger, and Mount Sinai PhD student Michelle Campoli.<\/span><\/p>\nConference sessions explored how AI, multimodal data, and collaborative science are advancing precision medicine, accelerating research, and transforming clinical care. Discussions also highlighted innovations in audiovisual AI, learning health systems, and discoveries from the Mount Sinai Million Health Discoveries Program.<\/span><\/p>\n![](\"https:\/\/media.licdn.com\/dms\/image\/v2\/D4D22AQEJtcvJd-AyFw\/feedshare-shrink_1280\/B4DZ6S8pfOKkAQ-\/0\/1780581833295?e=1785369600&v=beta&t=bHpfao5nzl7YupYiCtb-KApTZewM899mXVsk84rCRZo\")
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Thank you to our partners and friends<\/span> Girish Nadkarni<\/strong><\/span><\/a>, Alexander Charney<\/strong><\/span><\/a>, Dara (Meyer) Rozanski, MS, PMP<\/strong><\/span><\/a>, Kelly Morgan<\/strong><\/span><\/a>, Emily Holzman, MPH, PMP<\/strong><\/span><\/a> and the committee for hosting us and organizing this event!<\/span><\/p>\nA special thank you goes to<\/span> Ben Glicksberg<\/strong><\/span><\/a>, Matteo Danieletto<\/strong><\/span><\/a>, Ashwin Sawant<\/strong><\/span><\/a>, Marissa Wirth<\/strong><\/span><\/a>, Lewis Lo<\/strong><\/span><\/a>, Malika Gregory<\/strong><\/span><\/a>, Matt Johnson<\/strong><\/span><\/a>, Herve DiBello<\/strong><\/span><\/a>, Anurag Patil<\/strong><\/span><\/a> and<\/span> Pablo Guerrero<\/strong><\/span><\/a> for developing and organizing the<\/span> #hackathon<\/strong><\/span><\/a>.<\/p>\nWe look forward to seeing you all at the next conference!<\/span>\u00a0\ud83d\ude4c<\/p>\n#DigitalHealthPartnership<\/strong><\/span><\/a><\/p>\nHasso Plattner Foundation<\/strong><\/span><\/a><\/p>\n\u00a0<\/p>\n
\n\nData2Evidence Cohort Query Tool Training<\/span><\/b><\/span><\/h3>\nMay 2026<\/b><\/span><\/h4>\n\nWe\u2019re excited to invite you to explore\u00a0Data2Evidence<\/b>, a new tool designed to support and enhance clinical cohort discovery and analysis workflows.<\/span><\/div>\n\u00a0<\/div>\n\n\nTraining slides and recordings from our two most recent sessions are now available here:<\/strong><\/span><\/div>\n\n- Session 1<\/span> (SLIDES<\/a>) (VIDEO RECORDING<\/a>)<\/strong><\/li>\n
- Session 2<\/span> (SLIDES<\/a>) (VIDEO RECORDING<\/a>)<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/div>\nData2Evidence can be accessed at\u00a0d2e<\/span>.airms.mssm.edu<\/b>\u00a0by all existing Mount Sinai and Icahn School of Medicine users on site or via VPN. It does not require separate registration currently.<\/span><\/div>\n\u00a0<\/div>\nFor additional information about how Data2Evidence\u00a0may benefit your research visit our website:<\/span>\u00a0https:\/\/labs.icahn.mssm.edu\/minervalab\/d2e<\/span>-data2evidence-cohort-query-tool\/<\/a><\/div>\n<\/div>\n<\/div>\n\u00a0<\/div>\n\u00a0<\/div>\n\u00a0<\/div>\n\n
\n<\/div>\n\n\n\n\n\n\n\n\nAIR\u00b7MS Researcher Story: Jonas Ebner.<\/strong><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\nMay 2026<\/strong><\/span><\/h4>\nHow can large-scale health data help us better understand complex and poorly understood diseases?<\/span><\/strong><\/p>\n![](\"https:\/\/gyl1u.img.a.d.sendibm1.com\/im\/sh\/DxM5-hldbIdA.jpeg?u=1vcqsYC5HMzcSTSuq06eViYOE7hgwj\")
Jonas Ebner, Research Assistant and Master\u2019s student at the Hasso Plattner Institute, is using AIR\u00b7MS to investigate two challenging topics: Fragile X premutation and post-COVID syndrome (Long COVID). By analyzing electronic health record data with machine learning methods, he aims to identify patterns and potential mechanisms behind these conditions.\u00a0<\/span>With access to large, well-structured datasets and high-performance computing, AIR\u00b7MS enables Jonas to explore research questions that would be difficult to investigate with traditional study designs.<\/span><\/p>\nRead Jonas\u2019 full researcher story and learn how AIR\u00b7MS supports his work: <\/span>Read more<\/a><\/p>\n\u00a0<\/p>\n
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\nAre you working with AIR\u00b7MS?<\/strong><\/p>\n![](\"https:\/\/gyl1u.img.a.d.sendibm1.com\/im\/sh\/vmapk0p61UsH.jpg?u=1vcqsYC5HMzcSV7xIIG8p86JpFdKFl\")
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Share your research story with us, connect with the community, and help shape the future of AI in healthcare. <\/span>Submit your story and be part of the first 50 researchers to receive an AIR\u00b7MS Researcher Trophy as seen in the picture to the left!<\/span><\/p>\nShare your AIR\u00b7MS researcher story<\/a><\/p>\n\u00a0<\/p>\n
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\n\n\n\n\n\n\nPublications<\/strong><\/p>\n“ChatGPT Health performance in a structured test of triage recommendations”<\/strong><\/span><\/p>\nAshwin Ramaswamy, Alvira Tyagi, Hannah Hugo, Joy Jiang, Pushkala Jayaraman, Mateen Jangda, Alexis E. Te, Steven A. Kaplan, Joshua Lampert, Robert Freeman, Nicholas Gavin, Ashutosh K. Tewari, Ankit Sakhuja, Bilal Naved, Alexander W. Charney, Mahmud Omar, Michael A. Gorin, Eyal Klang, Girish N. Nadkarni.<\/em><\/span><\/p>\nRead more<\/a><\/p>\n\u00a0<\/p>\n
“Daily Consistency Over Timing: Routine Formation and Population-Specific Opportunities in mHealth User Adherence”<\/strong><\/span><\/p>\nSamia Shahnawaz, Rhyann Clarke, Suzanne Bakken, Noemie Elhadad, Kyle Landell, Jovita Rodrigues, Matteo Danieletto, Ipek Ensari.<\/em><\/span><\/p>\nRead more<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\u00a0<\/p>\n
“PhysioJEPA: Joint Embedding Representations of Physiological Signals for Real Time Risk Estimation in the Intensive Care Unit”<\/strong><\/span><\/p>\nBenjamin Fox, Dung Hoang, Joy Jiang, Pushkala Jayaraman, Ankit Parekh, Girish N. Nadkarni, Ankit Sakhuja.<\/span><\/em><\/p>\n<\/div>\nRead more<\/a><\/p>\n\u00a0<\/p>\n
“Large language models are poor clinical administrators: An evaluation of structured queries in real-world electronic health records”<\/strong><\/span><\/p>\nEyal Klang, Vera Sorin, Panagiotis Korfiatis, Ashwin S. Sawant, Robert Freeman, Alexander W. Charney, Girish N. Nadkarni, Benjamin S. Glicksberg.<\/span><\/em><\/p>\nRead more<\/a><\/p>\n\u00a0<\/div>\n\u00a0<\/div>\n
\nOver 220 Participants: AIR\u00b7MS Spring 2026 Training Series Sets New Record<\/strong><\/span><\/h3>\nApril 2026<\/b><\/span><\/h4>\nThe AIR\u00b7MS Spring 2026 Training Series wrapped up three highly attended sessions in April, drawing over 488 registrations and approximately 220 participants across sessions on Health Data Fundamentals, Large Language Models, and Advanced ML Applications. An average of 83% of surveyed attendees said they would strongly recommend the training to colleagues, and many researchers signed up as new AIR\u00b7MS users after joining.<\/span><\/p>\n![](\"https:\/\/gyl1u.img.a.d.sendibm1.com\/im\/sh\/cFLEKvFEZBYr.png?u=7xwQLFBtniwQn1kxvb6OMHHDlggcFAX\")
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Not yet on board?<\/strong> <\/span>AIR\u00b7MS gives Mount Sinai researchers seamless access to multi-modal clinical data, from EHR and omics to imaging, to accelerate AI-driven discovery. Enroll today:<\/span><\/strong> AIR\u2027MS: Getting Started | Scientific Computing and Data<\/a><\/span><\/p>\n\u00a0<\/p>\n
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\nAppointment 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><\/span><\/h3>\n<\/div>\nMarch 2026<\/b><\/span><\/h4>\nWe 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).<\/span><\/div>\n\nHerve 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.<\/span><\/p>\n<\/div>\n
\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
Digital Health Partnership Conference \u2013 Potsdam 2026<\/span><\/strong><\/span><\/h3>\nSave-the-dates!<\/strong><\/span><\/h3>\nOctober 12-16, 2026<\/b><\/span><\/h4>\nThe Digital Health Partnership Conference \u2013 Potsdam 2026, will be at the Hasso-Plattner-Institute in Potsdam, Germany.<\/span><\/p>\nStay tuned for more details!<\/span><\/p>\n\u00a0<\/p>\n
\nDigital He<\/span>alth<\/span><\/a> Partnership Conference \u2013 New York 2026<\/span><\/strong><\/h3>\nMay 4-8, 2026<\/b><\/span><\/h4>\nThe 2026 Digital Health Partnership Conference brought together researchers, clinicians, trainees, and collaborators from the Hasso Plattner Institute, Mount Sinai Health System, and Data4Life at the Icahn School of Medicine at Mount Sinai.<\/span><\/p>\nThe week began with a two-day ECG + EHR Hackathon, where teams used AI-Ready Mount Sinai (AIR\u00b7MS) and the Minerva High-Performance Computing platform to tackle a real-world clinical AI challenge. The winning team included HPI master’s students<\/span> Dinh Trung Hieu Le and Chris-Bennet Fleger, and Mount Sinai PhD student Michelle Campoli.<\/span><\/p>\nConference sessions explored how AI, multimodal data, and collaborative science are advancing precision medicine, accelerating research, and transforming clinical care. Discussions also highlighted innovations in audiovisual AI, learning health systems, and discoveries from the Mount Sinai Million Health Discoveries Program.<\/span><\/p>\n<\/p>\n
Thank you to our partners and friends<\/span> Girish Nadkarni<\/strong><\/span><\/a>, Alexander Charney<\/strong><\/span><\/a>, Dara (Meyer) Rozanski, MS, PMP<\/strong><\/span><\/a>, Kelly Morgan<\/strong><\/span><\/a>, Emily Holzman, MPH, PMP<\/strong><\/span><\/a> and the committee for hosting us and organizing this event!<\/span><\/p>\nA special thank you goes to<\/span> Ben Glicksberg<\/strong><\/span><\/a>, Matteo Danieletto<\/strong><\/span><\/a>, Ashwin Sawant<\/strong><\/span><\/a>, Marissa Wirth<\/strong><\/span><\/a>, Lewis Lo<\/strong><\/span><\/a>, Malika Gregory<\/strong><\/span><\/a>, Matt Johnson<\/strong><\/span><\/a>, Herve DiBello<\/strong><\/span><\/a>, Anurag Patil<\/strong><\/span><\/a> and<\/span> Pablo Guerrero<\/strong><\/span><\/a> for developing and organizing the<\/span> #hackathon<\/strong><\/span><\/a>.<\/p>\nWe look forward to seeing you all at the next conference!<\/span>\u00a0\ud83d\ude4c<\/p>\n#DigitalHealthPartnership<\/strong><\/span><\/a><\/p>\nHasso Plattner Foundation<\/strong><\/span><\/a><\/p>\n\u00a0<\/p>\n
\n\nData2Evidence Cohort Query Tool Training<\/span><\/b><\/span><\/h3>\nMay 2026<\/b><\/span><\/h4>\n\nWe\u2019re excited to invite you to explore\u00a0Data2Evidence<\/b>, a new tool designed to support and enhance clinical cohort discovery and analysis workflows.<\/span><\/div>\n\u00a0<\/div>\n\n\nTraining slides and recordings from our two most recent sessions are now available here:<\/strong><\/span><\/div>\n\n- Session 1<\/span> (SLIDES<\/a>) (VIDEO RECORDING<\/a>)<\/strong><\/li>\n
- Session 2<\/span> (SLIDES<\/a>) (VIDEO RECORDING<\/a>)<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/div>\nData2Evidence can be accessed at\u00a0d2e<\/span>.airms.mssm.edu<\/b>\u00a0by all existing Mount Sinai and Icahn School of Medicine users on site or via VPN. It does not require separate registration currently.<\/span><\/div>\n\u00a0<\/div>\nFor additional information about how Data2Evidence\u00a0may benefit your research visit our website:<\/span>\u00a0https:\/\/labs.icahn.mssm.edu\/minervalab\/d2e<\/span>-data2evidence-cohort-query-tool\/<\/a><\/div>\n<\/div>\n<\/div>\n\u00a0<\/div>\n\u00a0<\/div>\n\u00a0<\/div>\n\n
\n<\/div>\n\n\n\n\n\n\n\n\nAIR\u00b7MS Researcher Story: Jonas Ebner.<\/strong><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\nMay 2026<\/strong><\/span><\/h4>\nHow can large-scale health data help us better understand complex and poorly understood diseases?<\/span><\/strong><\/p>\nJonas Ebner, Research Assistant and Master\u2019s student at the Hasso Plattner Institute, is using AIR\u00b7MS to investigate two challenging topics: Fragile X premutation and post-COVID syndrome (Long COVID). By analyzing electronic health record data with machine learning methods, he aims to identify patterns and potential mechanisms behind these conditions.\u00a0<\/span>With access to large, well-structured datasets and high-performance computing, AIR\u00b7MS enables Jonas to explore research questions that would be difficult to investigate with traditional study designs.<\/span><\/p>\nRead Jonas\u2019 full researcher story and learn how AIR\u00b7MS supports his work: <\/span>Read more<\/a><\/p>\n\u00a0<\/p>\n
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\nAre you working with AIR\u00b7MS?<\/strong><\/p>\n<\/span><\/p>\n\u00a0<\/p>\n
Share your research story with us, connect with the community, and help shape the future of AI in healthcare. <\/span>Submit your story and be part of the first 50 researchers to receive an AIR\u00b7MS Researcher Trophy as seen in the picture to the left!<\/span><\/p>\nShare your AIR\u00b7MS researcher story<\/a><\/p>\n\u00a0<\/p>\n
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\n\n\n\n\n\n\nPublications<\/strong><\/p>\n“ChatGPT Health performance in a structured test of triage recommendations”<\/strong><\/span><\/p>\nAshwin Ramaswamy, Alvira Tyagi, Hannah Hugo, Joy Jiang, Pushkala Jayaraman, Mateen Jangda, Alexis E. Te, Steven A. Kaplan, Joshua Lampert, Robert Freeman, Nicholas Gavin, Ashutosh K. Tewari, Ankit Sakhuja, Bilal Naved, Alexander W. Charney, Mahmud Omar, Michael A. Gorin, Eyal Klang, Girish N. Nadkarni.<\/em><\/span><\/p>\nRead more<\/a><\/p>\n\u00a0<\/p>\n
“Daily Consistency Over Timing: Routine Formation and Population-Specific Opportunities in mHealth User Adherence”<\/strong><\/span><\/p>\nSamia Shahnawaz, Rhyann Clarke, Suzanne Bakken, Noemie Elhadad, Kyle Landell, Jovita Rodrigues, Matteo Danieletto, Ipek Ensari.<\/em><\/span><\/p>\nRead more<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\u00a0<\/p>\n
“PhysioJEPA: Joint Embedding Representations of Physiological Signals for Real Time Risk Estimation in the Intensive Care Unit”<\/strong><\/span><\/p>\nBenjamin Fox, Dung Hoang, Joy Jiang, Pushkala Jayaraman, Ankit Parekh, Girish N. Nadkarni, Ankit Sakhuja.<\/span><\/em><\/p>\n<\/div>\nRead more<\/a><\/p>\n\u00a0<\/p>\n
“Large language models are poor clinical administrators: An evaluation of structured queries in real-world electronic health records”<\/strong><\/span><\/p>\nEyal Klang, Vera Sorin, Panagiotis Korfiatis, Ashwin S. Sawant, Robert Freeman, Alexander W. Charney, Girish N. Nadkarni, Benjamin S. Glicksberg.<\/span><\/em><\/p>\nRead more<\/a><\/p>\n\u00a0<\/div>\n\u00a0<\/div>\n
\nOver 220 Participants: AIR\u00b7MS Spring 2026 Training Series Sets New Record<\/strong><\/span><\/h3>\nApril 2026<\/b><\/span><\/h4>\nThe AIR\u00b7MS Spring 2026 Training Series wrapped up three highly attended sessions in April, drawing over 488 registrations and approximately 220 participants across sessions on Health Data Fundamentals, Large Language Models, and Advanced ML Applications. An average of 83% of surveyed attendees said they would strongly recommend the training to colleagues, and many researchers signed up as new AIR\u00b7MS users after joining.<\/span><\/p>\n<\/p>\n
Not yet on board?<\/strong> <\/span>AIR\u00b7MS gives Mount Sinai researchers seamless access to multi-modal clinical data, from EHR and omics to imaging, to accelerate AI-driven discovery. Enroll today:<\/span><\/strong> AIR\u2027MS: Getting Started | Scientific Computing and Data<\/a><\/span><\/p>\n\u00a0<\/p>\n
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\nAppointment 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><\/span><\/h3>\n<\/div>\nMarch 2026<\/b><\/span><\/h4>\nWe 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).<\/span><\/div>\n\nHerve 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.<\/span><\/p>\n<\/div>\n
October 12-16, 2026<\/b><\/span><\/h4>\nThe Digital Health Partnership Conference \u2013 Potsdam 2026, will be at the Hasso-Plattner-Institute in Potsdam, Germany.<\/span><\/p>\nStay tuned for more details!<\/span><\/p>\n\u00a0<\/p>\n
\nDigital He<\/span>alth<\/span><\/a> Partnership Conference \u2013 New York 2026<\/span><\/strong><\/h3>\nMay 4-8, 2026<\/b><\/span><\/h4>\nThe 2026 Digital Health Partnership Conference brought together researchers, clinicians, trainees, and collaborators from the Hasso Plattner Institute, Mount Sinai Health System, and Data4Life at the Icahn School of Medicine at Mount Sinai.<\/span><\/p>\nThe week began with a two-day ECG + EHR Hackathon, where teams used AI-Ready Mount Sinai (AIR\u00b7MS) and the Minerva High-Performance Computing platform to tackle a real-world clinical AI challenge. The winning team included HPI master’s students<\/span> Dinh Trung Hieu Le and Chris-Bennet Fleger, and Mount Sinai PhD student Michelle Campoli.<\/span><\/p>\nConference sessions explored how AI, multimodal data, and collaborative science are advancing precision medicine, accelerating research, and transforming clinical care. Discussions also highlighted innovations in audiovisual AI, learning health systems, and discoveries from the Mount Sinai Million Health Discoveries Program.<\/span><\/p>\n<\/p>\n
Thank you to our partners and friends<\/span> Girish Nadkarni<\/strong><\/span><\/a>, Alexander Charney<\/strong><\/span><\/a>, Dara (Meyer) Rozanski, MS, PMP<\/strong><\/span><\/a>, Kelly Morgan<\/strong><\/span><\/a>, Emily Holzman, MPH, PMP<\/strong><\/span><\/a> and the committee for hosting us and organizing this event!<\/span><\/p>\nA special thank you goes to<\/span> Ben Glicksberg<\/strong><\/span><\/a>, Matteo Danieletto<\/strong><\/span><\/a>, Ashwin Sawant<\/strong><\/span><\/a>, Marissa Wirth<\/strong><\/span><\/a>, Lewis Lo<\/strong><\/span><\/a>, Malika Gregory<\/strong><\/span><\/a>, Matt Johnson<\/strong><\/span><\/a>, Herve DiBello<\/strong><\/span><\/a>, Anurag Patil<\/strong><\/span><\/a> and<\/span> Pablo Guerrero<\/strong><\/span><\/a> for developing and organizing the<\/span> #hackathon<\/strong><\/span><\/a>.<\/p>\nWe look forward to seeing you all at the next conference!<\/span>\u00a0\ud83d\ude4c<\/p>\n#DigitalHealthPartnership<\/strong><\/span><\/a><\/p>\nHasso Plattner Foundation<\/strong><\/span><\/a><\/p>\n\u00a0<\/p>\n
\n\nData2Evidence Cohort Query Tool Training<\/span><\/b><\/span><\/h3>\nMay 2026<\/b><\/span><\/h4>\n\nWe\u2019re excited to invite you to explore\u00a0Data2Evidence<\/b>, a new tool designed to support and enhance clinical cohort discovery and analysis workflows.<\/span><\/div>\n\u00a0<\/div>\n\n\nTraining slides and recordings from our two most recent sessions are now available here:<\/strong><\/span><\/div>\n\n- Session 1<\/span> (SLIDES<\/a>) (VIDEO RECORDING<\/a>)<\/strong><\/li>\n
- Session 2<\/span> (SLIDES<\/a>) (VIDEO RECORDING<\/a>)<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/div>\nData2Evidence can be accessed at\u00a0d2e<\/span>.airms.mssm.edu<\/b>\u00a0by all existing Mount Sinai and Icahn School of Medicine users on site or via VPN. It does not require separate registration currently.<\/span><\/div>\n\u00a0<\/div>\nFor additional information about how Data2Evidence\u00a0may benefit your research visit our website:<\/span>\u00a0https:\/\/labs.icahn.mssm.edu\/minervalab\/d2e<\/span>-data2evidence-cohort-query-tool\/<\/a><\/div>\n<\/div>\n<\/div>\n\u00a0<\/div>\n\u00a0<\/div>\n\u00a0<\/div>\n\n
\n<\/div>\n\n\n\n\n\n\n\n\nAIR\u00b7MS Researcher Story: Jonas Ebner.<\/strong><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\nMay 2026<\/strong><\/span><\/h4>\nHow can large-scale health data help us better understand complex and poorly understood diseases?<\/span><\/strong><\/p>\nJonas Ebner, Research Assistant and Master\u2019s student at the Hasso Plattner Institute, is using AIR\u00b7MS to investigate two challenging topics: Fragile X premutation and post-COVID syndrome (Long COVID). By analyzing electronic health record data with machine learning methods, he aims to identify patterns and potential mechanisms behind these conditions.\u00a0<\/span>With access to large, well-structured datasets and high-performance computing, AIR\u00b7MS enables Jonas to explore research questions that would be difficult to investigate with traditional study designs.<\/span><\/p>\nRead Jonas\u2019 full researcher story and learn how AIR\u00b7MS supports his work: <\/span>Read more<\/a><\/p>\n\u00a0<\/p>\n
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\nAre you working with AIR\u00b7MS?<\/strong><\/p>\n<\/span><\/p>\n\u00a0<\/p>\n
Share your research story with us, connect with the community, and help shape the future of AI in healthcare. <\/span>Submit your story and be part of the first 50 researchers to receive an AIR\u00b7MS Researcher Trophy as seen in the picture to the left!<\/span><\/p>\nShare your AIR\u00b7MS researcher story<\/a><\/p>\n\u00a0<\/p>\n
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\n\n\n\n\n\n\nPublications<\/strong><\/p>\n“ChatGPT Health performance in a structured test of triage recommendations”<\/strong><\/span><\/p>\nAshwin Ramaswamy, Alvira Tyagi, Hannah Hugo, Joy Jiang, Pushkala Jayaraman, Mateen Jangda, Alexis E. Te, Steven A. Kaplan, Joshua Lampert, Robert Freeman, Nicholas Gavin, Ashutosh K. Tewari, Ankit Sakhuja, Bilal Naved, Alexander W. Charney, Mahmud Omar, Michael A. Gorin, Eyal Klang, Girish N. Nadkarni.<\/em><\/span><\/p>\nRead more<\/a><\/p>\n\u00a0<\/p>\n
“Daily Consistency Over Timing: Routine Formation and Population-Specific Opportunities in mHealth User Adherence”<\/strong><\/span><\/p>\nSamia Shahnawaz, Rhyann Clarke, Suzanne Bakken, Noemie Elhadad, Kyle Landell, Jovita Rodrigues, Matteo Danieletto, Ipek Ensari.<\/em><\/span><\/p>\nRead more<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\u00a0<\/p>\n
“PhysioJEPA: Joint Embedding Representations of Physiological Signals for Real Time Risk Estimation in the Intensive Care Unit”<\/strong><\/span><\/p>\nBenjamin Fox, Dung Hoang, Joy Jiang, Pushkala Jayaraman, Ankit Parekh, Girish N. Nadkarni, Ankit Sakhuja.<\/span><\/em><\/p>\n<\/div>\nRead more<\/a><\/p>\n\u00a0<\/p>\n
“Large language models are poor clinical administrators: An evaluation of structured queries in real-world electronic health records”<\/strong><\/span><\/p>\nEyal Klang, Vera Sorin, Panagiotis Korfiatis, Ashwin S. Sawant, Robert Freeman, Alexander W. Charney, Girish N. Nadkarni, Benjamin S. Glicksberg.<\/span><\/em><\/p>\nRead more<\/a><\/p>\n\u00a0<\/div>\n\u00a0<\/div>\n
\nOver 220 Participants: AIR\u00b7MS Spring 2026 Training Series Sets New Record<\/strong><\/span><\/h3>\nApril 2026<\/b><\/span><\/h4>\nThe AIR\u00b7MS Spring 2026 Training Series wrapped up three highly attended sessions in April, drawing over 488 registrations and approximately 220 participants across sessions on Health Data Fundamentals, Large Language Models, and Advanced ML Applications. An average of 83% of surveyed attendees said they would strongly recommend the training to colleagues, and many researchers signed up as new AIR\u00b7MS users after joining.<\/span><\/p>\n<\/p>\n
Not yet on board?<\/strong> <\/span>AIR\u00b7MS gives Mount Sinai researchers seamless access to multi-modal clinical data, from EHR and omics to imaging, to accelerate AI-driven discovery. Enroll today:<\/span><\/strong> AIR\u2027MS: Getting Started | Scientific Computing and Data<\/a><\/span><\/p>\n\u00a0<\/p>\n
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\nAppointment 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><\/span><\/h3>\n<\/div>\nMarch 2026<\/b><\/span><\/h4>\nWe 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).<\/span><\/div>\n\nHerve 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.<\/span><\/p>\n<\/div>\n
Stay tuned for more details!<\/span><\/p>\n \u00a0<\/p>\n The 2026 Digital Health Partnership Conference brought together researchers, clinicians, trainees, and collaborators from the Hasso Plattner Institute, Mount Sinai Health System, and Data4Life at the Icahn School of Medicine at Mount Sinai.<\/span><\/p>\n The week began with a two-day ECG + EHR Hackathon, where teams used AI-Ready Mount Sinai (AIR\u00b7MS) and the Minerva High-Performance Computing platform to tackle a real-world clinical AI challenge. The winning team included HPI master’s students<\/span> Dinh Trung Hieu Le and Chris-Bennet Fleger, and Mount Sinai PhD student Michelle Campoli.<\/span><\/p>\n Conference sessions explored how AI, multimodal data, and collaborative science are advancing precision medicine, accelerating research, and transforming clinical care. Discussions also highlighted innovations in audiovisual AI, learning health systems, and discoveries from the Mount Sinai Million Health Discoveries Program.<\/span><\/p>\n Thank you to our partners and friends<\/span> Girish Nadkarni<\/strong><\/span><\/a>, Alexander Charney<\/strong><\/span><\/a>, Dara (Meyer) Rozanski, MS, PMP<\/strong><\/span><\/a>, Kelly Morgan<\/strong><\/span><\/a>, Emily Holzman, MPH, PMP<\/strong><\/span><\/a> and the committee for hosting us and organizing this event!<\/span><\/p>\n A special thank you goes to<\/span> Ben Glicksberg<\/strong><\/span><\/a>, Matteo Danieletto<\/strong><\/span><\/a>, Ashwin Sawant<\/strong><\/span><\/a>, Marissa Wirth<\/strong><\/span><\/a>, Lewis Lo<\/strong><\/span><\/a>, Malika Gregory<\/strong><\/span><\/a>, Matt Johnson<\/strong><\/span><\/a>, Herve DiBello<\/strong><\/span><\/a>, Anurag Patil<\/strong><\/span><\/a> and<\/span> Pablo Guerrero<\/strong><\/span><\/a> for developing and organizing the<\/span> #hackathon<\/strong><\/span><\/a>.<\/p>\n We look forward to seeing you all at the next conference!<\/span>\u00a0\ud83d\ude4c<\/p>\n #DigitalHealthPartnership<\/strong><\/span><\/a><\/p>\n Hasso Plattner Foundation<\/strong><\/span><\/a><\/p>\n \u00a0<\/p>\n How can large-scale health data help us better understand complex and poorly understood diseases?<\/span><\/strong><\/p>\n Read Jonas\u2019 full researcher story and learn how AIR\u00b7MS supports his work: <\/span>Read more<\/a><\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n Are you working with AIR\u00b7MS?<\/strong><\/p>\n \u00a0<\/p>\n Share your research story with us, connect with the community, and help shape the future of AI in healthcare. <\/span>Submit your story and be part of the first 50 researchers to receive an AIR\u00b7MS Researcher Trophy as seen in the picture to the left!<\/span><\/p>\n Share your AIR\u00b7MS researcher story<\/a><\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n Publications<\/strong><\/p>\n “ChatGPT Health performance in a structured test of triage recommendations”<\/strong><\/span><\/p>\n Ashwin Ramaswamy, Alvira Tyagi, Hannah Hugo, Joy Jiang, Pushkala Jayaraman, Mateen Jangda, Alexis E. Te, Steven A. Kaplan, Joshua Lampert, Robert Freeman, Nicholas Gavin, Ashutosh K. Tewari, Ankit Sakhuja, Bilal Naved, Alexander W. Charney, Mahmud Omar, Michael A. Gorin, Eyal Klang, Girish N. Nadkarni.<\/em><\/span><\/p>\n Read more<\/a><\/p>\n \u00a0<\/p>\n “Daily Consistency Over Timing: Routine Formation and Population-Specific Opportunities in mHealth User Adherence”<\/strong><\/span><\/p>\n Samia Shahnawaz, Rhyann Clarke, Suzanne Bakken, Noemie Elhadad, Kyle Landell, Jovita Rodrigues, Matteo Danieletto, Ipek Ensari.<\/em><\/span><\/p>\n Read more<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n \u00a0<\/p>\n “PhysioJEPA: Joint Embedding Representations of Physiological Signals for Real Time Risk Estimation in the Intensive Care Unit”<\/strong><\/span><\/p>\n Benjamin Fox, Dung Hoang, Joy Jiang, Pushkala Jayaraman, Ankit Parekh, Girish N. Nadkarni, Ankit Sakhuja.<\/span><\/em><\/p>\n<\/div>\n Read more<\/a><\/p>\n \u00a0<\/p>\n “Large language models are poor clinical administrators: An evaluation of structured queries in real-world electronic health records”<\/strong><\/span><\/p>\n Eyal Klang, Vera Sorin, Panagiotis Korfiatis, Ashwin S. Sawant, Robert Freeman, Alexander W. Charney, Girish N. Nadkarni, Benjamin S. Glicksberg.<\/span><\/em><\/p>\n Read more<\/a><\/p>\n The AIR\u00b7MS Spring 2026 Training Series wrapped up three highly attended sessions in April, drawing over 488 registrations and approximately 220 participants across sessions on Health Data Fundamentals, Large Language Models, and Advanced ML Applications. An average of 83% of surveyed attendees said they would strongly recommend the training to colleagues, and many researchers signed up as new AIR\u00b7MS users after joining.<\/span><\/p>\n Not yet on board?<\/strong> <\/span>AIR\u00b7MS gives Mount Sinai researchers seamless access to multi-modal clinical data, from EHR and omics to imaging, to accelerate AI-driven discovery. Enroll today:<\/span><\/strong> AIR\u2027MS: Getting Started | Scientific Computing and Data<\/a><\/span><\/p>\n \u00a0<\/p>\n 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.<\/span><\/p>\n<\/div>\n
\nDigital He<\/span>alth<\/span><\/a> Partnership Conference \u2013 New York 2026<\/span><\/strong><\/h3>\n
May 4-8, 2026<\/b><\/span><\/h4>\n
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\nData2Evidence Cohort Query Tool Training<\/span><\/b><\/span><\/h3>\n
May 2026<\/b><\/span><\/h4>\n
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\n<\/div>\nMay 2026<\/strong><\/span><\/h4>\n
Jonas Ebner, Research Assistant and Master\u2019s student at the Hasso Plattner Institute, is using AIR\u00b7MS to investigate two challenging topics: Fragile X premutation and post-COVID syndrome (Long COVID). By analyzing electronic health record data with machine learning methods, he aims to identify patterns and potential mechanisms behind these conditions.\u00a0<\/span>With access to large, well-structured datasets and high-performance computing, AIR\u00b7MS enables Jonas to explore research questions that would be difficult to investigate with traditional study designs.<\/span><\/p>\n
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\nOver 220 Participants: AIR\u00b7MS Spring 2026 Training Series Sets New Record<\/strong><\/span><\/h3>\n
April 2026<\/b><\/span><\/h4>\n
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\nAppointment 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><\/span><\/h3>\n<\/div>\n
March 2026<\/b><\/span><\/h4>\n