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AIR\u00b7MS Training<\/strong><\/span><\/h1>\n\u00a0<\/p>\n
NEW!! Spring 2026 Training Sessions![\"\"](\"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-content\/uploads\/sites\/342\/2026\/03\/AIR-MS-Jacket-e1773764167965-268x300.jpg\")
<\/strong><\/span><\/h2>\nWe 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.\u00a0<\/span><\/p>\nRegister and attend the Spring 2026 training and use AIR\u00b7MS tools and you will be eligible to receive a free exclusive AIR\u00b7MS jacket!<\/span><\/strong><\/p>\n\u00a0<\/h4>\nSession 1: Getting Started with <\/span>AIR\u00b7MS<\/span>: Health Data Fundamentals<\/span><\/h4>\nTuesday April 7 (9:00 am \u2013 10:00 am) | Hybrid In-Person & Zoom<\/strong><\/span><\/p>\n\n- Zoom attendees: <\/strong><\/span>Register here for Getting Started with AIR\u00b7MS: Health Data Fundamentals<\/strong><\/a><\/li>\n
- In-Person Attendees (Annenberg Classroom 10-70):<\/strong><\/span>\u00a0Register here<\/strong><\/a><\/li>\n<\/ul>\n
PLEASE NOTE: THE MATERIAL FOR AIR\u00b7MS TRAINING SESSION 1 IS HERE<\/a> (2026 UPDATED MATERIAL COMING SOON).<\/span><\/strong><\/p>\n THE DIRECT LINK TO THE UPDATED JUPYTER NOTEBOOK IS<\/span> HERE<\/a>.\u00a0<\/strong><\/p>\nYou will need to have prior access to Minerva and AIR\u00b7MS OMOP De-ID dataset to participate in certain areas of this training. If you don\u2019t have yet, you can follow these steps <\/strong>(NB: to access SailPoint you will need to be connected to the Mount Sinai network either by being onsite or by using VPN):<\/span><\/p>\n\n- Check that you have an ISMMS (School Network) Account<\/strong>. If you don\u2019t, you can request it on<\/span>\u00a0SailPoint <\/a>by selecting \u201cSchool Network Account\u201d<\/span><\/li>\n
- If you haven\u2019t yet, request a\u00a0Minerva Account<\/strong>\u00a0filling out\u00a0<\/span>this\u00a0form<\/a>. Please note that if you are not a PI, your PI should provide approval via email<\/span><\/li>\n
- Request\u00a0access to AIR\u00b7MS OMOP De-ID dataset<\/strong>\u00a0via SailPoint by selecting \u201cAIR.MS Production MSDW OMOP De-ID (MSSM)\u201d. A detailed how to guide can be found<\/span>\u00a0here<\/a>.<\/li>\n<\/ol>\n
More details of how to gain access can be found here:<\/strong><\/span>\u00a0AIR<\/strong>\u2027MS: Getting Started | Scientific Computing and Data<\/strong><\/a><\/p>\n\n- In person attendees: <\/strong>In person sessions will take place in Annenberg Classroom 10-70.<\/strong><\/span><\/li>\n
- Virtual attendees:<\/strong> Zoom links will be provided following registration for each session.<\/span><\/li>\n<\/ul>\n
In session 1, participants will learn how to:<\/span><\/p>\n\n- Understand data flow from EPIC to AIR\u00b7MS.<\/span><\/li>\n
- Avoid common pitfalls in working with clinical data.<\/span><\/li>\n
- Perform exploratory data analysis (EDA) in AIR\u00b7MS.<\/span><\/li>\n<\/ul>\n
Includes a live demo notebook shared in advance.\u00a0<\/span><\/p>\nAudience: Researchers, data scientists, and clinicians new to AIR\u00b7MS.\u00a0<\/span><\/p>\n\u00a0<\/h4>\nSession 2: From AI Agents to AIR\u00b7MS: Leveraging Large Language Models<\/span><\/h4>\nTuesday April 14 (9:00 am \u2013 10:00 am) | Hybrid In-Person & Zoom\u00a0<\/strong><\/span><\/p>\n\n- Zoom attendees: <\/strong><\/span>Register here for From AI Agents to AIR\u00b7MS: Leveraging Large Language Models (LLM)<\/strong><\/a><\/li>\n
- In-Person Attendees (Annenberg Classroom 10-70):<\/strong><\/span>\u00a0Register here<\/strong><\/a><\/li>\n<\/ul>\n
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PLEASE NOTE: THE MATERIAL FOR AIR\u00b7MS TRAINING SESSION 2 IS\u00a0HERE<\/a> (2026 UPDATED MATERIAL COMING SOON). <\/span><\/strong><\/p>\nTHE DIRECT LINK TO THE UPDATED JUPYTER NOTEBOOK IS<\/span> HERE<\/a>.\u00a0<\/strong><\/p>\nREMINDER: Participants will need to request access to Minerva and AIR\u00b7MS by Friday April 3rd at the latest<\/span> so that there is sufficient time to process applications.\u00a0<\/strong><\/span><\/p>\n\n- \nPlease use one of the Microsoft Multi-Factor Authentication methods for SSH login to Minerva.<\/span><\/div>\n<\/li>\n
- \nPlease input your\u00a0Sinai School password only\u00a0<\/b>when prompted for the password.\u00a0No Symantec VIP token code is needed<\/b>.\u00a0<\/span><\/div>\n<\/li>\n
- \nDetailed instructions are available at<\/span>\u00a0https:\/\/labs.icahn.mssm.edu\/minervalab\/documentation\/logging-in\/<\/b><\/a>.<\/div>\n<\/li>\n<\/ul>\n
Discover how on-premises open-source LLMs can support data exploration in AIR\u00b7MS. This session covers:\u00a0<\/span><\/p>\n\n- ChatAI demo.\u00a0<\/span><\/li>\n
- Using Ollama and AIR\u00b7MS within Python.<\/span><\/li>\n
- Introduction to SQL<\/span><\/li>\n
- How LLMs can help write and refine SQL queries.\u00a0<\/span><\/li>\n<\/ul>\n
Audience: Introductory users interested in AI tools for health data.\u00a0<\/span><\/p>\n\u00a0<\/h4>\nSession 3: Advanced AIR\u00b7MS: Deep Dive into Data Modalities and AI\/Machine Learning (ML) Applications<\/span><\/h4>\nTuesday April 21 (9:00 am \u2013 10:00 am) | Hybrid In-Person & Zoom\u00a0<\/strong><\/span><\/p>\n\n- Zoom attendees: <\/strong><\/span>Register here for Advanced AIR\u00b7MS: Multimodal Data<\/strong><\/a><\/li>\n
- In-Person Attendees (Annenberg Classroom 10-70):<\/strong><\/span>\u00a0Register here<\/a><\/strong><\/li>\n<\/ul>\n
Explore advanced AIR\u00b7MS capabilities for multimodal research, with lightning talks on OMOP, pathology, radiology, echocardiography, and Mount Sinai Million.<\/span><\/p>\nAudience: Advanced researchers and technical users.\u00a0<\/span><\/p>\nPlease register ahead of time for sessions. Direct any questions through our new\u00a0ticketing<\/span>\u00a0support\u00a0system<\/span><\/a>.<\/b><\/span><\/p>\n\u00a0<\/p>\n
Fall 2025 Inaugural AIR<\/span><\/span>\u2027<\/span><\/span>MS <\/span><\/span><\/strong><\/span>Town Hall<\/strong><\/h2>\nThe Fall 2025 <\/span>Inaugural <\/span>AIR<\/span><\/span>\u2027<\/span><\/span><\/span>MS <\/span>Town Hall<\/span> is now available (powerpoint slides<\/a>) (video recording<\/a>).<\/span><\/span><\/span><\/p>\n\u00a0<\/p>\n
Fall 2025 <\/strong><\/span>AIR<\/span><\/span>\u2027<\/span><\/span>MS <\/span><\/span><\/strong><\/span>Training Sessions<\/strong><\/h2>\n\n- Tuesday September 30: Getting Started with AIR\u00b7MS: Health Data Fundamentals (slides – PART 1<\/a>; PART 2<\/a><\/strong><\/span>) (video recording<\/a>)<\/strong><\/span><\/li>\n
- Tuesday October 7: From ChatAI to AIR\u00b7MS: Leveraging Large Language Models (slides<\/a>) (video recording<\/a>)<\/strong><\/span><\/li>\n
- Tuesday October 21: Advanced AIR\u00b7MS: Multimodal Data (slides<\/a>) (video recording<\/a>)<\/strong><\/span><\/li>\n<\/ul>\n
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Spring 2025 Inaugural AIR<\/span><\/span>\u2027<\/span><\/span>MS <\/span><\/span><\/strong><\/span>Training Session<\/strong><\/h2>\n
<\/strong><\/span><\/h2>\nWe 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.\u00a0<\/span><\/p>\n 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!<\/span><\/strong><\/p>\n Tuesday April 7 (9:00 am \u2013 10:00 am) | Hybrid In-Person & Zoom<\/strong><\/span><\/p>\n PLEASE NOTE: THE MATERIAL FOR AIR\u00b7MS TRAINING SESSION 1 IS HERE<\/a> (2026 UPDATED MATERIAL COMING SOON).<\/span><\/strong><\/p>\n THE DIRECT LINK TO THE UPDATED JUPYTER NOTEBOOK IS<\/span> HERE<\/a>.\u00a0<\/strong><\/p>\n You will need to have prior access to Minerva and AIR\u00b7MS OMOP De-ID dataset to participate in certain areas of this training. If you don\u2019t have yet, you can follow these steps <\/strong>(NB: to access SailPoint you will need to be connected to the Mount Sinai network either by being onsite or by using VPN):<\/span><\/p>\n More details of how to gain access can be found here:<\/strong><\/span>\u00a0AIR<\/strong>\u2027MS: Getting Started | Scientific Computing and Data<\/strong><\/a><\/p>\n In session 1, participants will learn how to:<\/span><\/p>\n Includes a live demo notebook shared in advance.\u00a0<\/span><\/p>\n Audience: Researchers, data scientists, and clinicians new to AIR\u00b7MS.\u00a0<\/span><\/p>\n Tuesday April 14 (9:00 am \u2013 10:00 am) | Hybrid In-Person & Zoom\u00a0<\/strong><\/span><\/p>\n \u00a0<\/p>\n PLEASE NOTE: THE MATERIAL FOR AIR\u00b7MS TRAINING SESSION 2 IS\u00a0HERE<\/a> (2026 UPDATED MATERIAL COMING SOON). <\/span><\/strong><\/p>\n THE DIRECT LINK TO THE UPDATED JUPYTER NOTEBOOK IS<\/span> HERE<\/a>.\u00a0<\/strong><\/p>\n REMINDER: Participants will need to request access to Minerva and AIR\u00b7MS by Friday April 3rd at the latest<\/span> so that there is sufficient time to process applications.\u00a0<\/strong><\/span><\/p>\n Discover how on-premises open-source LLMs can support data exploration in AIR\u00b7MS. This session covers:\u00a0<\/span><\/p>\n Audience: Introductory users interested in AI tools for health data.\u00a0<\/span><\/p>\n Tuesday April 21 (9:00 am \u2013 10:00 am) | Hybrid In-Person & Zoom\u00a0<\/strong><\/span><\/p>\n Explore advanced AIR\u00b7MS capabilities for multimodal research, with lightning talks on OMOP, pathology, radiology, echocardiography, and Mount Sinai Million.<\/span><\/p>\n Audience: Advanced researchers and technical users.\u00a0<\/span><\/p>\n Please register ahead of time for sessions. Direct any questions through our new\u00a0ticketing<\/span>\u00a0support\u00a0system<\/span><\/a>.<\/b><\/span><\/p>\n \u00a0<\/p>\n The Fall 2025 <\/span>Inaugural <\/span>AIR<\/span><\/span>\u2027<\/span><\/span><\/span>MS <\/span>Town Hall<\/span> is now available (powerpoint slides<\/a>) (video recording<\/a>).<\/span><\/span><\/span><\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n\u00a0<\/h4>\n
Session 1: Getting Started with <\/span>AIR\u00b7MS<\/span>: Health Data Fundamentals<\/span><\/h4>\n
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Session 2: From AI Agents to AIR\u00b7MS: Leveraging Large Language Models<\/span><\/h4>\n
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Session 3: Advanced AIR\u00b7MS: Deep Dive into Data Modalities and AI\/Machine Learning (ML) Applications<\/span><\/h4>\n
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Fall 2025 Inaugural AIR<\/span><\/span>\u2027<\/span><\/span>MS <\/span><\/span><\/strong><\/span>Town Hall<\/strong><\/h2>\n
Fall 2025 <\/strong><\/span>AIR<\/span><\/span>\u2027<\/span><\/span>MS <\/span><\/span><\/strong><\/span>Training Sessions<\/strong><\/h2>\n
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Spring 2025 Inaugural AIR<\/span><\/span>\u2027<\/span><\/span>MS <\/span><\/span><\/strong><\/span>Training Session<\/strong><\/h2>\n