Results 281 to 290 of about 5,885,991 (322)

Self-supervised learning reduces label noise in sharp wave ripple classification. [PDF]

Sci Rep
Graf S, Meyrand P, Herry C, Bem T, Tsai FS.   +4 more
europepmc   +1 more source

Inhibition of Phosphodiesterase 10A by MP‐10 Rescues Behavioral Deficits and Normalizes Microglial Morphology and Synaptic Pruning in A Mouse Model of FOXP1 Syndrome

Advanced Science, EarlyView.
We demonstrate that Foxp1± mice, modeling FOXP1 haploinsufficiency, exhibit behavioral deficits, striatal neuroinflammatory changes including altered microglial complexity and synaptic pruning, and markedly reduced Pde10a expression. Pde10a inhibition starting immediately after birth restores Foxp1± behavior, microglial morphology, and pruning ...
Henning Fröhlich, Jing Wang, Ferdinand Althammer, Tim Schubert, Nina Kluck, Valery Grinevich, Stefanie Schmitteckert, Christian P. Schaaf, Gudrun A. Rappold   +8 more
wiley   +1 more source

Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification. [PDF]

J Am Med Inform Assoc
Shim S, Kim MS, Yae CG, Kang YK, Do JR, Kim HK, Yang HL.   +6 more
europepmc   +1 more source

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

A deep semi-supervised learning approach to the detection of glaucoma on out-of-distribution retinal fundus image datasets. [PDF]

BMC Ophthalmol
Wang L, Zhang X, Li Z, Yu S, Wu Y, Zhang S, Jiang G, Tian B, Mei C, Pu J, Liang Y, Yi Q, Wu W.   +12 more
europepmc   +1 more source

STAT6 Activation Exacerbates Ferroptosis in Airway Epithelium by Inhibiting PRKN‐Mediated Mitophagy in Pulmonary Fibrosis

Advanced Science, EarlyView.
This study uncovers STAT6‐driven pulmonary fibrosis (PF) via suppression of PRKN‐mediated airway epithelial mitophagy, triggering mitochondrial dysfunction and ferroptosis. Rifabutin is identified as a potent STAT6 inhibitor that effectively reverses fibrotic progression. These findings reveal the STAT6‐PRKN axis as a pathogenic regulator and provide a
Youjing Yang, Guangbin Huang, Tao Zhang, Yi Ling, Junyu Jiang, Dingyuan Du, Yu Ma, Shasha Tao   +7 more
wiley   +1 more source

Enhancing mosquito classification through self-supervised learning. [PDF]

Sci Rep
Charoenpanyakul R, Kittichai V, Eiamsamang S, Sriwichai P, Pinetsuksai N, Naing KM, Tongloy T, Boonsang S, Chuwongin S.   +8 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

NeuroNasal: Advanced AI-Driven Self-Supervised Learning Approach for Enhanced Sinonasal Pathology Detection. [PDF]

Sensors (Basel)
Atitallah N, Ben Atitallah S, Driss M, Nahar KMO.   +3 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