Long Short-Term Memory-Driven Modeling of Dynamic Hepatocellular Carcinoma Microenvironments: A Deep Learning Framework for Precision Treatment Prediction.

PURPOSE: This study evaluates deep learning (DL) approaches, particularly long short-term memory (LSTM) networks, for analyzing dynamic changes in the hepatocellular carcinoma (HCC) tumor microenvironment (TME) to improve disease understanding and tr…

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