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A. Tengli

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Review Open access Jun 2026

Navigating AI and machine learning in cancer research: an end-to-end translational framework

This review provides a comprehensive pipeline for artificial intelligence/machine learning in cancer research, including preclinical research, clinical decision support, and real-world implementation, and critically examines multi-omics fusion architectures, regularization-based machine learning, batch-effect harmonization, explainable AI, and federated learning.

Shalini Saha, Md Saif Ali, A. Tengli et al. · 0 citations