AIR·MS Training
Fall 2025 Training Sessions
We will be holding 3 AIR·MS training sessions this Fall. These sessions will introduce you to the AIR·MS 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.
Please note: You will need to have prior access to Minerva and AIR·MS OMOP De-ID dataset to participate in certain areas of this training. If you don’t have yet, you can follow these steps (NB: to access SailPoint you will need to be connected to the Mount Sinai network either by being onsite or by using VPN):
- Check that you have an ISMMS (School Network) Account. If you don’t, you can request it on SailPoint by selecting “School Network Account”
- If you haven’t yet, request a Minerva Account filling out this form. Please note that if you are not a PI, your PI should provide approval via email
- Request access to AIR·MS OMOP De-ID dataset via SailPoint by selecting “AIR.MS Production MSDW OMOP De-ID (MSSM)”. A detailed how to guide can be found here.
More details of how to gain access can be found here: AIR‧MS: Getting Started | Scientific Computing and Data
- In person attendees: All sessions will be offered in Annenberg Classroom 10-70 or 10-68 (see session for details).
- Virtual attendees: Zoom links will be provided following registration (links below) for each session.
Session 1: Getting Started with AIR·MS: Health Data Fundamentals
Tuesday September 30 (10:00 am – 11:00 am) | Hybrid In-Person & Zoom
- Zoom attendees: Register here for Getting Started with AIR·MS: Health Data Fundamentals
- In-Person Attendees (Annenberg Classroom 10-70): Register here
Learn how to:
- Understand data flow from EPIC to AIR·MS.
- Avoid common pitfalls in working with clinical data.
- Perform exploratory data analysis (EDA) in AIR·MS.
Includes a live demo notebook shared in advance.
Audience: Researchers, data scientists, and clinicians new to AIR·MS.
Session 2: From ChatAI to AIR·MS: Leveraging Large Language Models
Tuesday October 7 (10:00 am – 11:00 am) | Hybrid In-Person & Zoom
- Zoom attendees: Register here for From ChatAI to AIR·MS: Leveraging Large Language Models (LLM)
- In-Person Attendees (Annenberg Classroom 10-68): Register here
Discover how on-premises open-source LLMs can support data exploration in AIR·MS. This session covers:
- ChatAI demo.
- Using Ollama and AIR·MS within Python.
- Introduction to SQL
- How LLMs can help write and refine SQL queries.
Audience: Introductory users interested in AI tools for health data.
Session 3: Advanced AIR·MS: Deep Dive into Data Modalities and AI/Machine Learning (ML) Applications
Tuesday October 21 (10:00 am – 11:00 am) | Hybrid In-Person & Zoom
- Zoom attendees: Register here for Advanced AIR·MS: Deep Dive into Data Modalities and AI/ML Applications
- In-Person Attendees (Annenberg Classroom 10-70): Register here
Explore advanced AIR·MS capabilities for multimodal research, with lightning talks on OMOP, pathology, radiology, echocardiography, and Mount Sinai Million.
- Includes an overview of ML infrastructure at Mount Sinai and a demo of multimodal AI workflows.
Audience: Advanced researchers and technical users.
Please register ahead of time for sessions. Direct any questions to airms-support@mssm.edu.
Spring 2025 Inaugural AIR‧MS Training Session
The Inaugural AIR‧MS Training video is now available here.