Article

Quantum Cognition Machine Learning for Forecasting Chromosomal Instability

2025-06-02

Abstract excerpt

The accurate prediction of chromosomal instability from the morphology of circulating tumor cells (CTCs) enables real-time detection of CTCs with high metastatic potential in the context of liquid biopsy diagnostics. However, it presents a significant challenge due to the high dimensionality and complexity of single-cell digital pathology data. Here, we introduce the application of Quantum Cognition Machine Learni...

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Literature Corpus work: efc49d20-b95c-556b-a2f9-b03d7b0cf5f6
DOI: 10.1101/2025.05.30.656882

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