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Artificially intelligent proteomics improves cardiovascular risk assessment
| Autor principal: | |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413680/ https://www.ncbi.nlm.nih.gov/pubmed/30651217 http://dx.doi.org/10.1016/j.ebiom.2019.01.014 |
| _version_ | 1783402867978141696 |
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| author | Sze, Siu Kwan |
| author_facet | Sze, Siu Kwan |
| author_sort | Sze, Siu Kwan |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-6413680 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2019 |
| publisher | Elsevier |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-64136802019-03-22 Artificially intelligent proteomics improves cardiovascular risk assessment Sze, Siu Kwan EBioMedicine Commentary Elsevier 2019-01-14 /pmc/articles/PMC6413680/ /pubmed/30651217 http://dx.doi.org/10.1016/j.ebiom.2019.01.014 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
| spellingShingle | Commentary Sze, Siu Kwan Artificially intelligent proteomics improves cardiovascular risk assessment |
| title | Artificially intelligent proteomics improves cardiovascular risk assessment |
| title_full | Artificially intelligent proteomics improves cardiovascular risk assessment |
| title_fullStr | Artificially intelligent proteomics improves cardiovascular risk assessment |
| title_full_unstemmed | Artificially intelligent proteomics improves cardiovascular risk assessment |
| title_short | Artificially intelligent proteomics improves cardiovascular risk assessment |
| title_sort | artificially intelligent proteomics improves cardiovascular risk assessment |
| topic | Commentary |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413680/ https://www.ncbi.nlm.nih.gov/pubmed/30651217 http://dx.doi.org/10.1016/j.ebiom.2019.01.014 |
| work_keys_str_mv | AT szesiukwan artificiallyintelligentproteomicsimprovescardiovascularriskassessment |