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A Genomics-guided Multimodal Contrastive Learning Framework For Clinically Significant Prostate Cancer Risk Stratification With Missing Clinical Data

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Cancer Survival Analysis

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

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A Genomics-guided Multimodal Contrastive Learning Framework For Clinically Significant Prostate Cancer Risk Stratification With Missing Clinical Data

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Published on: July 22, 2025

A Genomics-Guided Multimodal Contrastive Learning Framework for Clinically Significant Prostate Cancer Risk

Abdullah^1,2, Muhammad Shahid², Muhammad Ateeb Ather²

¹Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional (IPN), Mexico City 07738, Mexico.

|June 26, 2026

Summary

No abstract available in PubMed .

Keywords:

calibration clinical decision support contrastive learning genomics-anchored deep learning histopathology data interpretable AI multimodal learning prostate cancer radio-genomics risk stratification

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Constructing and Visualizing Models using Mime-based Machine-learning Framework

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Published on: July 22, 2025