Infoscience
metadata only
Multi-omics-driven kinetic modeling reveals metabolic vulnerabilities and differential drug-response dynamics in ovarian cancer
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A Study to Analyze Data on Metastatic Ovarian Cancer Using Multi-omics#836787
- Randomized Multicenter Trial With SU11248 Evaluating Dosage,Tolerability,Toxicity and Effectiveness of a Multitargeted Receptor Tyrosine Kinase Inhibitor#969676
- Constitution of ex Vivo Ovarian Tumor Models for the Validation of the Interest of Innovative Therapies and the Search for Tumor or Circulating Biomarkers Predictive of Treatment Response#1150894
- Characterization of Ovarian Cancer Stem Cell#1007114
- Prediction Model for Overall Survival in Patients with Epithelial Ovarian Cancer Undergoing Surgery and Systemic Therapy Based on the 2010–2021 SEER Database.#151447
Record · ID 354228
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive