Despite advancements, predicting cancer outcomes remains challenging due to:
- Tumor Heterogeneity: Cancers are often composed of multiple subclones with distinct genetic profiles, making treatment response unpredictable. - Data Privacy Concerns: Protecting patient data while using it for predictive analytics is a significant issue. - Access to Advanced Diagnostics: Not all patients have access to state-of-the-art diagnostic tools and treatments, leading to disparities in outcomes.
