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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)
Verlagsversion DOI PMC
Open Access Gold (Paid Option)
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Korrespondenzautor
Schlagwörter Ai ; Ml ; Cell Biology ; Virtual Cell
ISSN (print) / ISBN 0092-8674
e-ISSN 1097-4172
Zeitschrift Cell
Quellenangaben Band: 187, Heft: 25, Seiten: 7045-7063 Artikelnummer: , Supplement: ,
Verlag Cell Press
Verlagsort Cambridge, Mass.
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)