Results 221 to 230 of about 246,640 (339)

MALMPS: A Machine Learning‐Based Metabolic Gene Prognostic Signature for Stratifying Clinical Outcomes and Molecular Heterogeneity in Stage II/III Colorectal Cancer

Advanced Science, EarlyView.
Chen et al. identified a metabolic gene prognostic signature with machine‐learning framework and assessed the prognostic value in independent CRC cohorts. The metabolic signature subtypes are characterized by specific metabolic and proteomic characteristics, and associated with distinct molecular pathway and therapeutic potential.
Hao Chen, Ze Wang, Chenglong Sun, Yang Zhong, Yuan Liu, Yikun Li, Tongchao Zhang, Yuan Zhang, Xingyu Zhu, Leping Li, Feifei Teng, Ming Lu, Wei Chong   +12 more
wiley   +1 more source

Liberal Versus Restrictive Oxygenation Targets in Acute Heart Failure-A Protocol for a Systematic Review With Meta-Analysis. [PDF]

Acta Anaesthesiol Scand
Taraldsen IA, Lukoschewitz JD, Tonning S, Hove JD, Jakobsen JC, Grand J.   +5 more
europepmc   +1 more source

Toward the Clinical Translation of Implantable Brain–Computer Interfaces for Motor Impairment: Research Trends and Outcome Measures

Advanced Science, EarlyView.
Implantable brain–computer interfaces (iBCIs) are rapidly approaching clinical translation. This review maps key trends in the development of iBCIs and highlights the lack of standardised clinical outcome measures. It discusses a proposed framework for the selection of outcome measures in clinical trials and introduces a new international registry of ...
Esmee Dohle, Eleanor Swanson, Luka Jovanovic, Suraya Yusuf, Lucy Thompson, Hugo Layard Horsfall, William Muirhead, Luke Bashford, Jamie Brannigan   +8 more
wiley   +1 more source

Novel Potassium Binders in Reduction of Hyperkalemia and Optimization of RAAS Inhibitors Treatment in Patients with Chronic Kidney Disease or Heart Failure: A Systematic Review and Meta-analysis. [PDF]

Drugs
Huang N, Xu Y, Liu C, Liu Y, Fan Y, Li Z, Zhang D, Mao H, Chen W.   +8 more
europepmc   +1 more source

Nephronectin (NPNT) is a Crucial Determinant of Idiopathic Pulmonary Fibrosis: Modulating Cellular Senescence via the ITGA3/YAP1 Signaling Axis

Advanced Science, EarlyView.
Through a comprehensive multi‐omics analysis, this study identifies a marked reduction in Nephronectin (NPNT) expression within fibrotic lung tissue. This reduction impairs the binding capability to the ITGA3 receptor, consequently causing YAP1 to persist in the cytoplasm, where it undergoes degradation.
Jiayu Guo, Yan Wang, Qiudi Liu, Zhaoyang Luo, Xiaomu Tian, Yuquan Wang, Yang Liu, Zhiwei Ning, Yingying Guo, Huiying Gao, Xinyue Wang, Jinglong Feng, Mengmeng Liu, Dina Saifullina, Yixin Zhang, Tengfei Pan, Yu Bian, Tao Ban, Tianyu Li, Yunyan Gu, Haihai Liang   +20 more
wiley   +1 more source

Risk factors for pulmonary infection in elderly patients with type 2 diabetes: A protocol for systematic review and meta-analysis. [PDF]

PLoS One
Wei Z, Su W, Jia H, Yang L, Zhang J, Wang Y.   +5 more
europepmc   +1 more source

Distributed Temporal Coding of Visual Memory Categories in Human Hippocampal Neurons Revealed by an Interpretable Decoding Model

Advanced Science, EarlyView.
This study examines how the human hippocampus encodes visual memory categories. By decoding spiking activity from CA3 and CA1 neurons using an interpretable model, it reveals that category‐specific representations emerge from distributed temporal coding.
Xiwei She, Bryan J. Moore, Brent M. Roeder, George Nune, Brian S. Robinson, Brian Lee, Susan Shaw, Hui Gong, Christianne N. Heck, Gautam Popli, Daniel E. Couture, Adrian W. Laxton, Vasilis Z. Marmarelis, Samuel A. Deadwyler, Charles Liu, Theodore W. Berger, Robert E. Hampson, Dong Song   +17 more
wiley   +1 more source

Soft tissue augmentation procedures for natural teeth and dental implants: an overview of systematic reviews. [PDF]

Cochrane Database Syst Rev
Kuswandani SO, Buti J, Rotundo R, Hutomo DI, Tan HJ, D'Aiuto F.   +5 more
europepmc   +1 more source

Comprehensive 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 more
wiley   +1 more source