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Bunne, C.* ; Roohani, Y.* ; Rosen, Y.* ; Gupta, A.* ; Zhang, X.* ; Roed, M.* ; Alexandrov, T.* ; AlQuraishi, M.* ; Brennan, P.* ; Burkhardt, D.B.* ; Califano, A.* ; Cool, J.* ; Dernburg, A.F.* ; Ewing, K.* ; Fox, E.B.* ; Haury, M.* ; Herr, A.E.* ; Horvitz, E.* ; Hsu, P.D.* ; Jain, V.* ; Johnson, G.R.* ; Kalil, T.* ; Kelley, D.R.* ; Kelley, S.O.* ; Kreshuk, A.* ; Mitchison, T.* ; Otte, S.* ; Shendure, J.* ; Sofroniew, N.J.* ; Theis, F.J. ; Theodoris, C.V.* ; Upadhyayula, S.* ; Valer, M.* ; Wang, B.* ; Xing, E.* ; Yeung-Levy, S.* ; Zitnik, M.* ; Karaletsos, T.* ; Regev, A.* ; Lundberg, E.* ; Leskovec, J.* ; Quake, S.R.*

How to build the virtual cell with artificial intelligence: Priorities and opportunities.

Cell 187, 7045-7063 (2024)
Publ. Version/Full Text DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
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 interdisciplinary collaborations in open science.
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Publication type Article: Journal article
Document type Review
Keywords Ai ; Ml ; Cell Biology ; Virtual Cell; Model; Expression; Atlas; Prediction; Biology
Language english
Publication Year 2024
HGF-reported in Year 2024
ISSN (print) / ISBN 0092-8674
e-ISSN 1097-4172
Journal Cell
Quellenangaben Volume: 187, Issue: 25, Pages: 7045-7063 Article Number: , Supplement: ,
Publisher Cell Press
Publishing Place Cambridge, Mass.
Reviewing status Peer reviewed
Institute(s) Institute of Computational Biology (ICB)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-503800-001
Grants Wallenberg Foundation
Cancer Cell Map Initiative (NCI Center for Cancer Systems Biology)
Bridge2AI Program (NIH Common Fund)
Schmidt Futures
GSK
Zuckerberg Initiative
Stanford Data Applications Initiative
NSF
Stanford Institute for Human-Centered AI, Chan Zuckerberg Initiative
DOI 10.1016/j.cell.2024.11.015
WOS ID 001409698100001
Scopus ID 85211477743
PubMed ID 39672099
Erfassungsdatum 2024-12-17
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