AIM-AHEAD and MATCH AI Hands-on Workshop Series
Welcome to the MATCH AI Hands-on Workshop Series
About
MATCH is part of the AIM-AHEAD Data and Infrastructure Capacity Building (DICB) Program and aims to ignite & accelerate AI and machine learning projects in biomedicine for AIM-AHEAD awardees and their teams.
Course description
This course provides a practical introduction to the use of artificial intelligence in biomedical research. Participants will explore applications of AI across diverse areas including electronic health records (EHRs), computer vision, generative AI, adaptive learning, and federated learning. Through a mix of conceptual overviews and hands-on examples, learners will gain the tools and knowledge needed to evaluate, apply, and adapt AI methods in their research.
Course learning objectives
By the end of this course, learners will be able to:
- Discover new AI modalities for data classification and generation, and model deployment
- Gain confidence in dealing with different data types encountered in healthcare AI, such as electronic health care records, images and text data
- Recognize common pitfalls and considerations in using different techniques for data analysis
Instrumental persons
Amina Qutub - Principal Investigator
Mark Goldberg - Principal Investigator
Dhireesha Kudithipudi - Principal Investigator
Panagiotis Markopoulos - Principal Investigator
Carolina Vivas-Valencia - Collaborating Investigator
Kevin Desai - Collaborating Investigator
Mignon Frances Dumanjog - Project Coordinator
Jayanta Dey - SME
Sambit Panda - SME
Christian Cruz - SME
Toufeeq Syed
Deevakar Rogith
Lesley Grandstaff
Paul Warhurst
Cara Morrison
Related Links
MATCH-DICB WebsiteHelp Desk - TBD