Editorial: Breakthroughs in Cryo-EM with machine learning and artificial intelligence
Yes
| Authors: | , , |
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| Format: | article |
| Publication Date: | 2025 |
| Country: | España |
| Institution: | IE |
| Repository: | Repositorio IE |
| OAI Identifier: | oai:repositorio.ie.edu:20.500.14417/4260 |
| Online Access: | https://doi.org/10.3389/fmolb.2025.1739481 https://hdl.handle.net/20.500.14417/4260 https://www.frontiersin.org/journals/molecular-biosciences/articles/10.3389/fmolb.2025.1739481/full |
| Access Level: | Open access |
| Keyword: | 24 Ciencias de la Vida::2406 Biofísica ODS 3 - Salud y bienestar CryoEM CryoET machine learning artificial intelligence deep learning computer vision life sciences |
| Summary: | Yes |
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