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Journal of Hepatocellular Carcinoma|December 1, 2025
Machine Learning-Based Survival Analysis for Patients Receiving Lenvatinib for Unresectable Hepatocellular CarcinomaChien-Hung Lu, Ching-Wen Chang, San-Chi Chen, et al.
Biorxiv : the Preprint Server for Biology|February 23, 2026
Spatial immune hubs defined by conserved activated dendritic cells are remodeled by immunotherapyTomoyuki Minowa, Sunita Keshari, Shan He, et al.
The Journal of Clinical Investigation|August 5, 2025
An IFN/STAT1/CYBB Axis Defines Protective Plasmacytoid DC to Neutrophil Crosstalk in Aspergillus fumigatus - Infected miceYahui Guo, Mariano A Aufiero, Kathleen Am Mills, et al.
Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association|July 18, 2018
Efficacy and Pharmacokinetics of Glecaprevir and Pibrentasvir With Concurrent Use of Acid-Reducing Agents in Patients With Chronic HCV InfectionSteven Flamm, K Rajender Reddy, Neddie Zadeikis, et al.
Rapid Communications in Mass Spectrometry : RCM|April 8, 2025
Integrated Element Doping and Standard-Sample Bracketing for Enhanced Fe-Zn Isotope Precision in MC-ICPMSDong-Yong Li, Long Chen, Hai-Ou Gu, et al.
Bioinformatics (Oxford, England)|May 19, 2021
DeepEBV: a deep learning model to predict Epstein-Barr virus (EBV) integration sitesJiuxing Liang, Zifeng Cui, Canbiao Wu, et al.
Iscience|December 30, 2022
Cultural and demic co-diffusion of Tubo Empire on Tibetan PlateauKongyang Zhu, Panxin Du, Jiyuan Li, et al.
Leukemia Research|October 4, 2016
TP53-induced glycolysis and apoptosis regulator protects from spontaneous apoptosis and predicts poor prognosis in chronic lymphocytic leukemiaMing Hong, Yi Xia, Yu Zhu, et al.
Radiation Oncology (London, England)|August 16, 2020
Missed radiation therapy sessions in first three weeks predict distant metastasis and less favorable outcomes in surgically treated patients with oral cavity squamous cell carcinomaYin-Yin Chiang, Yung-Chih Chou, Kai-Ping Chang, et al.
Nature Immunology|May 22, 2025
CellLENS enables cross-domain information fusion for enhanced cell population delineation in single-cell spatial omics dataBokai Zhu, Sheng Gao, Shuxiao Chen, et al.
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