Results 221 to 230 of about 1,113,673 (339)
Comparison Between Microendoscopic Laminectomy and Open Posterior Decompression Surgery for Single-Level Lumbar Spinal Stenosis: A Multicenter Retrospective Cohort Study
, 2021 Nozomu Ohtomo, Hideki Nakamoto, Junya Miyahara, Yuichi Yoshida, Hiroyuki Nakarai, Keiichiro Tozawa, Masayoshi Fukushima, So Kato, Tôru Doi, Yuki Taniguchi, Yoshitaka Matsubayashi, Akiro Higashikawa, Yujiro Takeshita, Naohiro Kawamura, Hirohiko Inanami, Sakae Tanaka, Yasushi Oshima +16 moreopenalex +1 more sourceComprehensive Characterization of the Immune Microenvironment Based on Nested Resampling Machine Learning Framework Identifies TRAF3 Interacting Protein 3 as a Promising Regulator to Improve the Resistance to Immunotherapy in Glioma
Advanced Science, EarlyView.This study develops a nested resampling machine learning framework to establish the Immune Glioma Survival Signature (IGLoS), which stratifies glioma patients and predicts immunotherapy resistance. Multi‐omics analyses reveal TRAF3IP3 as a pivotal regulator of PD‐L1 expression and T‐cell exhaustion via ERK‐NFATC2 signaling.Yanbo Yang, Fei Wang, Yulian Zhang, Run Huang, Chuanpeng Zhang, Lu Zhao, Hanhan Dang, Xinyu Tao, Yue Lu, Dengfeng Lu, Yunsheng Zhang, Kun He, Jiancong Weng, Zhouqing Chen, Zhong Wang, Yanbing Yu +15 morewiley +1 more sourceClinical Features, Molecular Biology, and the Metastatic Microenvironment in Lung Cancer Brain Metastases: Implications for Treatment Decisions
Advanced Science, EarlyView.Brain metastases (BM) from lung cancer are aggressive with poor prognosis. This review covers clinical features, diagnosis, early metastasis, and multi‐omics‐elucidated mechanisms, especially the tumor microenvironment of lung cancer with BM. It also discusses preclinical models, signaling pathways, and emerging therapies.Yixiang Zhu, Danming He, Zan Hou, Mei Lan, Ye Zhang, Qifeng Wang +5 morewiley +1 more sourceAn Explainable Multimodal Artificial Intelligence Model Integrating Histopathological Microenvironment and EHR Phenotypes for Germline Genetic Testing in Breast Cancer
Advanced Science, EarlyView.This study presents an explainable multimodal AI model, MAIGGT (Multimodal Artificial Intelligence Germline Genetic Testing), that combines whole‐slide histopathology with clinical data for accurate germline BRCA1/2 mutation prescreening. By integrating digital pathology and EHR phenotypes, MAIGCT enables cost‐effective, scalable hereditary breast ...Zijian Yang, Changyuan Guo, Jiayi Li, Yalun Li, Lei Zhong, Pengming Pu, Tongxuan Shang, Lin Cong, Yongxin Zhou, Guangdong Qiao, Ziqi Jia, Hengyi Xu, Heng Cao, Yansong Huang, Tianyi Liu, Jian Liang, Jiang Wu, Dongxu Ma, Yuchen Liu, Ruijie Zhou, Xiang Wang, Jianming Ying, Meng Zhou, Jiaqi Liu +23 morewiley +1 more source
