
Dana-Farber researchers present major cancer clinical trial results, including AI-driven data analysis, at ESMO Congress 2025.
Key Details
- 1Dana-Farber leads four phase 3 studies in breast, lung, and bladder cancer at ESMO Congress 2025.
- 2Key trials address advanced breast cancer treatment, NSCLC first-line therapy, and ctDNA-guided therapy in bladder cancer.
- 3Patient-reported data from SERENA-6 trial shows improved quality of life for metastatic breast cancer patients.
- 4Presentation of AI-generated synthetic cohorts from a 19,164 patient metastatic breast cancer dataset for real-world data analysis.
- 5Blood biomarker (KIM-1) study may help guide advanced kidney cancer treatment decisions.
- 6ESMO 2025 held in Berlin, Oct 17–21, with global participation.
Why It Matters

Source
EurekAlert
Related News

AI Simplifies CT Reports, Boosting Cancer Patients' Understanding
AI-driven text simplification significantly improves cancer patients' comprehension of CT scan reports.

AI Decision Support Proves Helpful, Yet Contentious, in Emergency Medicine
Researchers found that AI-driven decision support improved correct decision rates among emergency care doctors, but physician acceptance of AI recommendations remains split.

Study Questions Universal Benefit of AI Virtual Staining in Medical Imaging
University of Illinois researchers found AI-based virtual staining sometimes reduces information utility in medical images, especially with high-capacity networks.