Author

Peng Li

2 papers indexed here

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Sep 2026

Explainable Machine Learning Model for Post-SRS Overall Survival Estimation in Renal Cell Carcinoma Brain Metastases Patients

Brain metastases (BM) from renal cell carcinoma (RCC) significantly affect survival, and disease-specific prognostic tools for patients undergoing stereotactic radiosurgery (SRS) remain limited. We aimed to identify prognostic factors and develop an interpretable machine learning (ML) model for individualized ris...

S. Ozgul, Melis Parabas, Peng Li et al. · Neuro-Oncology Practice · 0 citations

Open access Aug 2026

DSAI-11 AN OPTIMIZED MACHINE LEARNING MODEL FOR OVERALL SURVIVAL PREDICTION IN BRAIN METASTASIS PATIENTS USING GENOMIC MUTATION AND COPY NUMBER FEATURES

A robust machine learning framework integrating genomic mutations and copy number alterations to predict survival in BM patients demonstrates stable performance and effective risk stratification in an independent cohort, supporting its potential clinical utility for prognostic assessment and precision oncology applicat...

M. I. Ali, Z. Majeed, Peng Li et al. · Neuro-Oncology Advances · 0 citations