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Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656769/ https://www.ncbi.nlm.nih.gov/pubmed/38028667 http://dx.doi.org/10.3389/frai.2023.1274975 |
| _version_ | 1785137071982116864 |
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| author | Rustandi, Tedi Prihandiwati, Erna Nugroho, Fatah Hayati, Fakhriah Afriani, Nita Alfian, Riza Aisyah, Noor Niah, Rakhmadhan Rahim, Aulia As-Shiddiq, Hasbi |
| author_facet | Rustandi, Tedi Prihandiwati, Erna Nugroho, Fatah Hayati, Fakhriah Afriani, Nita Alfian, Riza Aisyah, Noor Niah, Rakhmadhan Rahim, Aulia As-Shiddiq, Hasbi |
| author_sort | Rustandi, Tedi |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10656769 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-106567692023-11-02 Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug Rustandi, Tedi Prihandiwati, Erna Nugroho, Fatah Hayati, Fakhriah Afriani, Nita Alfian, Riza Aisyah, Noor Niah, Rakhmadhan Rahim, Aulia As-Shiddiq, Hasbi Front Artif Intell Artificial Intelligence Frontiers Media S.A. 2023-11-02 /pmc/articles/PMC10656769/ /pubmed/38028667 http://dx.doi.org/10.3389/frai.2023.1274975 Text en Copyright © 2023 Rustandi, Prihandiwati, Nugroho, Hayati, Afriani, Alfian, Aisyah, Niah, Rahim and As-Shiddiq. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| spellingShingle | Artificial Intelligence Rustandi, Tedi Prihandiwati, Erna Nugroho, Fatah Hayati, Fakhriah Afriani, Nita Alfian, Riza Aisyah, Noor Niah, Rakhmadhan Rahim, Aulia As-Shiddiq, Hasbi Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug |
| title | Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug |
| title_full | Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug |
| title_fullStr | Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug |
| title_full_unstemmed | Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug |
| title_short | Application of artificial intelligence in the development of Jamu “traditional Indonesian medicine” as a more effective drug |
| title_sort | application of artificial intelligence in the development of jamu “traditional indonesian medicine” as a more effective drug |
| topic | Artificial Intelligence |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656769/ https://www.ncbi.nlm.nih.gov/pubmed/38028667 http://dx.doi.org/10.3389/frai.2023.1274975 |
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