Multi-cohort ensemble learning framework for vaginal microbiome-based endometrial cancer detection
Dollina Dodani, Aline Talhouk · 2025
Read Multi-cohort ensemble learning framework for vaginal microbiome-based endometrial cancer detection by Dollina Dodani, Aline Talhouk (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12719438.txt.
Description
Dodani and Talhouk build a detection method for endometrial cancer based on the vaginal microbiome. This cancer is the most common gynecological malignancy in high-income countries. It still lacks a proven early detection strategy, a gap that delays treatment for many women.
Past studies hinted that vaginal microbes could flag the cancer, but results clashed between groups. The team gathered 16S sequencing data from five cohorts with 265 women in total. An ensemble learning model trained across cohorts aims for steadier detection. Combining sites may smooth out the noise that blocked clinical use before.
Catalog record
| CREATOR | Dollina Dodani, Aline Talhouk |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |