Article

Personalized Breast Cancer Therapy Optimization Using Deep Q-Learning and TCGA Data

2025-05-16

Abstract excerpt

<title>Abstract</title> <p>Breast cancer therapy is challenged by tumor heterogeneity and limited personalization. This study presents a Deep Q-Learning (DQN) model trained on The Cancer Genome Atlas (TCGA) data to optimize personalized treatment plans for breast cancer patients. The model achieved an average tumor reduction of 129.71 mm, a minimum of 95.01 mm, and a maximum of 150.0 mm (indicating complete tumor...

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Literature Corpus work: f772b8de-d597-5ff3-b35e-791598f61d12
DOI: 10.21203/rs.3.rs-6665743/v1

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