Enhancing ovarian cancer prognosis with an artificial intelligence-derived model: Multi-omics integration and therapeutic implications
The AIDPI model offers a highly accurate tool for ovarian cancer prognosis and treatment decision-making, underscored by the integration of multi-omics data and artificial intelligence. The model's performance and biological insights provide a foundation for advancing precision medicine in ovarian cancer. MFAP4's functionality and the influence of DNA methylation present opportunities for prospective research endeavors and potential therapeutic interventions.
Authors
- You Wu (ORCID: https://orcid.org/0009-0000-9779-0309)
- Bin Li (ORCID: https://orcid.org/0000-0002-3769-7476)
- Yan Song (ORCID: https://orcid.org/0000-0001-7050-4368)
- Kunyu Wang
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Publication Details
- Journal
- Translational Oncology
- Published
- 2025-06-27
- DOI
- https://doi.org/10.1016/j.tranon.2025.102439
- Citations
- 4
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 6.07
Funders
- National Natural Science Foundation of China