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Chemical Biology & Drug Design|November 12, 2025
Transformer-Based Model for Drug Design and Therapy Response PredictionZheng Gu, Junxian Yu
Epigenomics|June 6, 2026
Machine learning models predict the immunotherapy response in tumors on the basis of DNA methylationZheng Gu, Ning Jiang, Erle Deng, et al.
Translational Cancer Research|March 12, 2026
Mature tertiary lymphoid structures tumor microenvironment-based risk model to assess patients with pancreatic ductal adenocarcinomaZheng Gu, Chaoran He, Sheng Cheng, et al.
Reproductive Sciences (Thousand Oaks, Calif.)|April 8, 2025
Using Machine Learning to Predict the Prognosis of Cervical Cancer Patients with Lymph Node Metastasis: An Analysis Based on the SEER DatabaseErle Deng, Zheng Gu, Hongtao Wei, et al.
Discover Oncology|March 11, 2025
Research trends and highlights in PD-1/PD-L1 inhibitor immunotherapy in lung cancer: a bibliometric analysisZheng Gu, Erle Deng, Jing Ai, et al.
Annals of Palliative Medicine|May 28, 2021
Immune checkpoint inhibitor-related pneumonitis induced by camrelizumab: a case report and review of literatureLing Li, Anqi Lou, Junxian Yu
Current Cancer Drug Targets|April 20, 2013
Advances in translational pharmacological investigations in identifying and validating molecular targets of natural product anticancer agentsJunxian Yu, Subhasree A Nag, Ruiwen Zhang
Disease Markers|September 5, 2022
The Efficacy of Immune Checkpoint Inhibitors vs. Chemotherapy for KRAS-Mutant or EGFR-Mutant Non-Small-Cell Lung Cancers: A Meta-Analysis Based on Randomized Controlled TrialsWei Chen, Ling Li, Sheng Cheng, et al.
The Clinical Respiratory Journal|April 2, 2024
Efficacy of immune checkpoint inhibitors in advanced non-small cell lung cancer patients with KRAS mutations: A network meta-analysisLin Zhang, Wei Chen, Hongtao Wei, et al.
Bioscience, Biotechnology, and Biochemistry|January 1, 2020
Addition of docosahexaenoic acid synergistically enhances the efficacy of apatinib for triple-negative breast cancer therapyYingjie Ma, Junxian Yu, Qin Li, et al.
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