2ⁿᵈ Edition of the Cancer R&D World Conference 2026
Speakers - CRDWC 2025
Alexander Rahman
Alexander Rahman
- Designation: Arizona State University
- Country: USA
- Title: A Quantum Machine Learning Approach to Identifying Stress Linked Cancer Risk
Abstract
Stress plays a critical role in cancer risk, progression, and patient outcomes. This study presents StressMap-Q, a quantum machine learning model designed to identify stress patterns linked to oncogenic activity. By analyzing multimodal datasets—stress scores, cortisol levels, and gene expression. StressMap-Q accurately classifies high-risk profiles. Using quantum kernel estimation and variational quantum classifiers, the model outperforms classical methods in detecting stress-related cancer indicators, offering a new path for early risk detection in psycho-oncology.
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