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Jae-Ho Cheong

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Review Open access Jul 2026

Advancing genomics and integration of multi-omics for precision oncology using quantum machine learning.

This Perspective highlights how quantum algorithms-such as Quantum Support Vector Machines, Quantum Principal Component Analysis, and quantum generative models-could enhance key tasks in precision oncology, including multi-omics integration, spatial transcriptomics, and neoantigen prediction.

Ji-Yong Sung, Jae-Ho Cheong · 0 citations