How to build the virtual cell with artificial intelligence: Priorities and opportunities
Chan Zuckerberg Initiative (United States) · École Polytechnique Fédérale de Lausanne · +37 more institutions
Abstract
Cells are essential to understanding health and disease, yet traditional models fall short of modeling and simulating their function and behavior. Advances in AI and omics offer groundbreaking opportunities to create an AI virtual cell (AIVC), a multi-scale, multi-modal large-neural-network-based model that can represent and simulate the behavior of molecules, cells, and tissues across diverse states. This Perspective provides a vision on their design and how collaborative efforts to build AIVCs will transform biological research by allowing high-fidelity simulations, accelerating discoveries, and guiding experimental studies, offering new opportunities for understanding cellular functions and fostering…
Citation impact
- FWCI
- 53.91
- Percentile
- 100%
- References
- 213
Authors
42- CBCharlotte BunneCorresponding
Chan Zuckerberg Initiative (United States), École Polytechnique Fédérale de Lausanne, Stanford University
- YRYusuf Roohani
Chan Zuckerberg Initiative (United States), Palo Alto Institute, Arc Research Institute, Stanford University
- YRYanay Rosen
Chan Zuckerberg Initiative (United States), Stanford University
- AGAnkit Gupta
Chan Zuckerberg Initiative (United States), KTH Royal Institute of Technology
- XZXikun Zhang
Chan Zuckerberg Initiative (United States), Stanford Medicine, Stanford University
Topics & keywords
- Biology