CTSD is the key therapeutic target of Jinshui Liujun decoction in treating chronic bronchitis.

This study used network pharmacology, bioinformatics, molecular docking and molecular dynamics simulations to evaluate the pharmacological mechanism of Jinshui Liujun decoction in treating chronic bronchitis. The network pharmacology constructed and analysed the drug-disease targets network. Microarray data analysis revealed CTSD as a key therapeutic target gene.

Research trends in lung cancer and the tumor microenvironment: a bibliometric analysis of studies published from 2014 to 2023.

Background: Lung cancer (LC) is one of the most common malignant tumors in the world and the leading cause of cancer-related deaths, which seriously threatens human life and health as well as brings a heavy burden to the society. In recent years, the tumor microenvironment (TME) has become an emerging research field and hotspot affecting tumor pathogenesis and therapeutic approaches. However, to date, there has been no bibliometric analysis of lung cancer and the tumor microenvironment from 2014 to 2023.

Progressive attention integration-based multi-scale efficient network for medical imaging analysis with application to COVID-19 diagnosis.

In this paper, a novel deep learning-based medical imaging analysis framework is developed, which aims to deal with the insufficient feature learning caused by the imperfect property of imaging data. Named as multi-scale efficient network (MEN), the proposed method integrates different attention mechanisms to realize sufficient extraction of both detailed features and semantic information in a progressive learning manner. In particular, a fused-attention block is designed to extract fine-grained details from the input, where the squeeze-excitation (SE) attention mechanism is applied to make the model focus on potential lesion areas.