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[HTML][HTML] The integration of machine learning into traditional Chinese medicine
Y Hong, S Zhu, Y Liu, C Tian, H Xu, G Chen… - Journal of …, 2024 - Elsevier
Traditional Chinese medicine (TCM) is an ancient medical system distinctive and effective in
treating cancer, depression, coronavirus disease 2019 (COVID-19), and other diseases …
treating cancer, depression, coronavirus disease 2019 (COVID-19), and other diseases …
[HTML][HTML] Single-Cell RNA Sequencing in Unraveling Acquired Resistance to EGFR-TKIs in Non-Small Cell Lung Cancer: New Perspectives
L Peng, S Deng, J Li, Y Zhang, L Zhang - International Journal of …, 2025 - mdpi.com
Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) have demonstrated
remarkable efficacy in treating non-small cell lung cancer (NSCLC), but acquired resistance …
remarkable efficacy in treating non-small cell lung cancer (NSCLC), but acquired resistance …
ScDrugAct: a comprehensive database to dissect tumor microenvironment cell heterogeneity contributing to drug action and resistance across human cancers
Y Xu, Y Zhang, K Song, J Liu, R Zhao… - Nucleic Acids …, 2025 - academic.oup.com
The transcriptional heterogeneity of tumor microenvironment (TME) cells is a crucial factor
driving the diversity of cellular response to drug treatment and resistance. Therefore …
driving the diversity of cellular response to drug treatment and resistance. Therefore …
Integrating scRNA-seq and Visium HD for the analysis of the tumor microenvironment in the progression of colorectal cancer
C Wang, M Lu, C Chen, J Chen, Y Cai, H Wang… - International …, 2025 - Elsevier
Background Colorectal cancer (CRC) development is a complex, multi-stage process,
transitioning from normal to adenomatous tissue, and then to invasive carcinoma. Despite …
transitioning from normal to adenomatous tissue, and then to invasive carcinoma. Despite …
A deep learning framework for in silico screening of anticancer drugs at the single-cell level
P Zhang, X Wang, X Cen, Q Zhang, Y Fu… - National Science …, 2025 - academic.oup.com
Tumor heterogeneity plays a pivotal role in tumor progression and resistance to clinical
treatment. Single-cell RNA sequencing (scRNA-seq) enables us to explore heterogeneity …
treatment. Single-cell RNA sequencing (scRNA-seq) enables us to explore heterogeneity …
ExPDrug: Integration of an interpretable neural network and knowledge graph for pathway-based drug repurposing
Precision medicine aims to provide personalized therapies by analyzing patient molecular
profiles, often focusing on gene expression data. However, effectively linking these data to …
profiles, often focusing on gene expression data. However, effectively linking these data to …
Causal genes identification of giant cell arteritis in CD4+ Memory t cells: an integration of multi-omics and expression quantitative trait locus analysis
Q Yu, Y Wu, X Ma, Y Zhang - Inflammation Research, 2025 - Springer
Background Giant cell arteritis (GCA) is a prevalent artery and is strongly correlated with
age. The role of CD4+ Memory T cells in giant cell arteritis has not been elucidated. Method …
age. The role of CD4+ Memory T cells in giant cell arteritis has not been elucidated. Method …
scPharm: identifying pharmacological subpopulations of single cells for precision medicine in cancers
P Tian, J Zheng, K Qiao, Y Fan, Y Xu, T Wu… - Advanced …, 2025 - Wiley Online Library
Intratumour heterogeneity significantly hinders the efficacy of anticancer therapies.
Compared with drug perturbation experiments, which yield pharmacological data at the bulk …
Compared with drug perturbation experiments, which yield pharmacological data at the bulk …
A Multimodal Framework to Uncover Drug-Responsive Subpopulations in Triple-Negative Breast Cancer
Understanding how individual cancer cells adapt to drug treatment is a fundamental
challenge limiting precision medicine cancer therapy strategies. While single-cell …
challenge limiting precision medicine cancer therapy strategies. While single-cell …