Genomic language models could transform medicine but not yet
Recently, a genomic language model (gLM) with 40 billion parameters known as Evo2 has reached the same scale as the most powerful text large language models (LLMs). gLMs have been emerging as powerful tools to decode DNA sequences over the last five years. This article examines the emergence of gLMs...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-04-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01603-4 |
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| _version_ | 1850181834835492864 |
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| author | Micaela Elisa Consens Ben Li Anna R. Poetsch Stephen Gilbert |
| author_facet | Micaela Elisa Consens Ben Li Anna R. Poetsch Stephen Gilbert |
| author_sort | Micaela Elisa Consens |
| collection | DOAJ |
| description | Recently, a genomic language model (gLM) with 40 billion parameters known as Evo2 has reached the same scale as the most powerful text large language models (LLMs). gLMs have been emerging as powerful tools to decode DNA sequences over the last five years. This article examines the emergence of gLMs and highlights Evo2 as a milestone in genomic language modeling, assessing both the scientific promise of gLMs and the practical challenges facing their implementation in medicine. |
| format | Article |
| id | doaj-art-80ce180d1d9e40e89e43b23bf7d7cc1e |
| institution | OA Journals |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-80ce180d1d9e40e89e43b23bf7d7cc1e2025-08-20T02:17:49ZengNature Portfolionpj Digital Medicine2398-63522025-04-01811410.1038/s41746-025-01603-4Genomic language models could transform medicine but not yetMicaela Elisa Consens0Ben Li1Anna R. Poetsch2Stephen Gilbert3Department of Computer Science, University of TorontoDivision of Vascular Surgery, University of TorontoBiomedical Genomics, Biotechnology Center, Center for Molecular and Cellular Bioengineering, Technische UniversitätCarl Gustav Carus University Hospital Dresden, Dresden University of TechnologyRecently, a genomic language model (gLM) with 40 billion parameters known as Evo2 has reached the same scale as the most powerful text large language models (LLMs). gLMs have been emerging as powerful tools to decode DNA sequences over the last five years. This article examines the emergence of gLMs and highlights Evo2 as a milestone in genomic language modeling, assessing both the scientific promise of gLMs and the practical challenges facing their implementation in medicine.https://doi.org/10.1038/s41746-025-01603-4 |
| spellingShingle | Micaela Elisa Consens Ben Li Anna R. Poetsch Stephen Gilbert Genomic language models could transform medicine but not yet npj Digital Medicine |
| title | Genomic language models could transform medicine but not yet |
| title_full | Genomic language models could transform medicine but not yet |
| title_fullStr | Genomic language models could transform medicine but not yet |
| title_full_unstemmed | Genomic language models could transform medicine but not yet |
| title_short | Genomic language models could transform medicine but not yet |
| title_sort | genomic language models could transform medicine but not yet |
| url | https://doi.org/10.1038/s41746-025-01603-4 |
| work_keys_str_mv | AT micaelaelisaconsens genomiclanguagemodelscouldtransformmedicinebutnotyet AT benli genomiclanguagemodelscouldtransformmedicinebutnotyet AT annarpoetsch genomiclanguagemodelscouldtransformmedicinebutnotyet AT stephengilbert genomiclanguagemodelscouldtransformmedicinebutnotyet |