Treatment-Response Analysis of Tumor as A Quantum Particle

TL;DR

This paper introduces a novel quantum-inspired computational method to model tumor treatment response and progression-free survival, leveraging quantum particle dynamics for improved accuracy and efficiency.

Contribution

The paper presents a new quantum physics-based approach for modeling tumor treatment response, offering a computationally efficient alternative to traditional methods.

Findings

Demonstrates the effectiveness of the quantum walk model in predicting PFS.

Shows improved computational efficiency over existing models.

Provides insights into tumor progression dynamics using quantum analogies.

Abstract

In this article, I present a novel and computational-efficient approach for treatment-response modeling of tumor progression-free survival (PFS) probability using the physical phenomenon of a quantum particle walking on a one-dimensional lattice with the presence of a proximate trap.