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6 February 2025
AI Model Enhances Breast Cancer Treatment Decisions
Breast cancer is the most common form of cancer worldwide. Many patients first undergo neoadjuvant therapy (such as chemotherapy or hormone therapy) to shrink the tumor before surgery. However, not everyone responds well to this treatment, causing some patients to experience unnecessary side effects without effective results.
Researchers at the Netherlands Cancer Institute (NKI) have developed an innovative AI model, called Multi Modal Response Prediction (MRP), to address this issue. Published in Nature Communications, the study highlights how this AI model improves treatment decisions by combining multiple data sources, such as radiological images, tumor characteristics, and clinical data.
A Smarter Approach to Cancer Treatment
Unlike traditional AI models that rely on a single data type, MRP integrates multiple forms of patient information to predict whether neoadjuvant therapy will be effective. This allows doctors to:
Unlike traditional AI models that rely on a single data type, MRP integrates multiple forms of patient information to predict whether neoadjuvant therapy will be effective. This allows doctors to:
- Before treatment: Identify patients unlikely to benefit, helping to explore alternative options.
- During treatment: Monitor progress and adjust therapy as needed.
- After treatment: Assess whether surgery is necessary, potentially reducing invasive procedures. One key advantage of MRP is its ability to not only predict outcomes but also explain why it reaches its conclusions. This transparency increases trust among physicians and enables better-informed decisions.
- After treatment: Assess whether surgery is necessary, potentially reducing invasive procedures. One key advantage of MRP is its ability to not only predict outcomes but also explain why it reaches its conclusions. This transparency increases trust among physicians and enables better-informed decisions.
Towards More Personalized Cancer Care
By leveraging AI, MRP reduces physicians’ workload, accelerates treatment decisions, and improves patient outcomes. Researchers are now working to implement this model in clinical practice, making personalized breast cancer treatment a reality.
By leveraging AI, MRP reduces physicians’ workload, accelerates treatment decisions, and improves patient outcomes. Researchers are now working to implement this model in clinical practice, making personalized breast cancer treatment a reality.
Read the full article by NKI here!
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