Biology-informed risk stratification of glioblastoma by integrating MRI-based intratumoral heterogeneity with clinical f

BACKGROUND: Refined risk stratification before randomization is clinically important for reducing prognostic imbalance across study arms when evaluating novel therapies for glioblastoma. However, current artificial intelligence-assisted prognostic models are often limited by c...

• Source: Radiology AI literature (PubMed) (AI)
• Type: Research

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