CM4AI (Cell Maps for AI) is an interdisciplinary project supported by the NIH Common Fund's Bridge to Artificial Intelligence (Bridge2AI) program. The project aims to create detailed maps of the structure and function of human cells over time. These maps will be used to address the major challenge of understanding how genetic information influences physical traits in an interpretable way. Unlike traditional machine learning models, which often operate like "black boxes," CM4AI seeks to reveal the mechanisms behind how genes affect traits.
The CM4AI Teaming Module is a key part of the CM4AI initiative, bringing together diverse expertise and emphasizing ethical considerations. This module plays a vital role in creating valuable data to help unlock the secrets of cellular functions and disease mechanisms, such as cancer. The Teaming Module develops a Talent Knowledge Graph (TKG) from the PubMed Knowledge Graph. This helps showcase and enhance the team's broad, diverse, and interdisciplinary skills. Additionally, it builds a user community to utilize the data produced, promoting collaboration to uncover insights into cellular function and disease mechanisms.
