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Machine Learning‐based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures
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| Published in: | IET Systems Biology |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030190362951685 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | IET Systems Biology |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:13737 |
| institution | FRELIP |
| journal_source_facet | IET Systems Biology |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Machine Learning‐based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures Bioengineering Bioengineering Technology & Engineering |
| sub_discipline_display | Bioengineering |
| sub_discipline_facet | Bioengineering |
| subject_display | Bioengineering Bioengineering Technology & Engineering Bioengineering Bioengineering Technology & Engineering |
| subject_facet | Bioengineering Bioengineering Technology & Engineering |
| title | Machine Learning‐based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures |
| title_auth | Machine Learning‐based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures |
| title_full | Machine Learning‐based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures |
| title_fullStr | Machine Learning‐based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures |
| title_full_unstemmed | Machine Learning‐based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures |
| title_short | Machine Learning‐based Diagnostic Potential of Bipolar Disorder Using Gut Microbiota Signatures |
| title_sort | machine learning‐based diagnostic potential of bipolar disorder using gut microbiota signatures |
| topic | Bioengineering Bioengineering Technology & Engineering |
| url | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/syb2.70056?af=R |