Generalist biological artificial intelligence in modeling the language of life.
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| Title: | Generalist biological artificial intelligence in modeling the language of life. |
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| Authors: | Rao VM; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Zhang S; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.; Department of Computer Science, Stanford University, Stanford, CA, USA., Plosky BS; Arc Institute, Palo Alto, CA, USA., Hsu PD; Arc Institute, Palo Alto, CA, USA.; Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA., Wang B; Vector Institute, Toronto, Ontario, Canada.; University Health Network, Toronto, Ontario, Canada.; University of Toronto, Toronto, Ontario, Canada., Zou J; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA., Zitnik M; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Topol EJ; Scripps Research, La Jolla, CA, USA. etopol@scripps.edu., Rajpurkar P; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. pranav_rajpurkar@hms.harvard.edu. |
| Source: | Nature biotechnology [Nat Biotechnol] 2026 Jun; Vol. 44 (6), pp. 918-933. Date of Electronic Publication: 2026 Mar 20. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Nature America Publishing Country of Publication: United States NLM ID: 9604648 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-1696 (Electronic) Linking ISSN: 10870156 NLM ISO Abbreviation: Nat Biotechnol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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