Author

L. Parida

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Preprint Sep 2026

Hybrid quantum-classical attention for histopathology-based molecular profiling in data-limited cancers

Molecular profiling from routine histopathology could expand access to precision oncology when sequencing is unavailable, tissue is limited, or training cohorts are small. We developed a hybrid quantum-classical strategy that replaces softmax attention in a transformer for histopathology-based gene expression predictio...

Kahn Rhrissorrakrai, A. Bose, A. Guzmán-Sáenz et al. · 0 citations

Preprint Aug 2026

Quantum Kernel Estimation for the Discovery of Early Lung Cancer Detection

Results support quantum kernel methods as a promising approach for cfDNA-based lung cancer detection using DNA fragmentomics and DNA methylation using quantum-classical hybrid machine learning.

H. Javidi, A. Zajichek, Hakan Doga et al. · 0 citations

Open access Jul 2026

Quantum convolutional HLA immunogenic peptide prediction (Q-CHIPP): Next-generation neoantigen prediction with quantum neural network

This work introduces Quantum Convolutional HLA Immunogenic Peptide Prediction (Q-CHIPP), a combinatorial framework integrating MHC binding and T-cell recognition that targets HLA-A*02:01–restricted 9-mer peptides and identifies those peptides known to be immunogenic, improving the prognostic impact of predicted neoanti...

Ryan Peters, Kahn Rhrissorrakrai, Prerana Bangalore Parthasarathy et al. · Science Advances · 0 citations