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Identification of Potential Therapeutic Agents for Primary Amebic Meningoencephalitis Using Text Mining and Bioinformatics Analyses
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| Published in: | Analytical Cellular Pathology |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867301675300028418 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Analytical Cellular Pathology |
| description | |
| discipline_display | Pathology |
| discipline_facet | Pathology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:60308 |
| institution | FRELIP |
| journal_source_facet | Analytical Cellular Pathology |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Identification of Potential Therapeutic Agents for Primary Amebic Meningoencephalitis Using Text Mining and Bioinformatics Analyses Pathology General Pathology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Pathology General Pathology Pathology General Pathology |
| subject_facet | Pathology General Pathology |
| title | Identification of Potential Therapeutic Agents for Primary Amebic Meningoencephalitis Using Text Mining and Bioinformatics Analyses |
| title_auth | Identification of Potential Therapeutic Agents for Primary Amebic Meningoencephalitis Using Text Mining and Bioinformatics Analyses |
| title_full | Identification of Potential Therapeutic Agents for Primary Amebic Meningoencephalitis Using Text Mining and Bioinformatics Analyses |
| title_fullStr | Identification of Potential Therapeutic Agents for Primary Amebic Meningoencephalitis Using Text Mining and Bioinformatics Analyses |
| title_full_unstemmed | Identification of Potential Therapeutic Agents for Primary Amebic Meningoencephalitis Using Text Mining and Bioinformatics Analyses |
| title_short | Identification of Potential Therapeutic Agents for Primary Amebic Meningoencephalitis Using Text Mining and Bioinformatics Analyses |
| title_sort | identification of potential therapeutic agents for primary amebic meningoencephalitis using text mining and bioinformatics analyses |
| topic | Pathology General Pathology |
| url | https://www.hindawi.com/journals/acp/2026/5577830/ |