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
· npj Digital Medicine · 0 citations