Results 171 to 180 of about 3,935,477 (223)

18F‐FGln PET/CT Imaging of Glutamine Uptake Has Potential for Predicting Immunotherapy Response in Hepatocellular Carcinoma

Advanced Science, EarlyView.
18F‐FGln PET/CT imaging serves as a marker of Gln uptake in hepatocellular carcinoma. Tumors with high Gln uptake drive Treg‐mediated immunosuppression and immune evasion during antitumor immunotherapy. Conversely, tumors with low Gln uptake maintain sufficient Gln in the TME, suppressing Tregs and enabling cytotoxic T cells to inhibit tumor growth ...
Yi Liu, Jindian Li, Xiaoyu Pan, Xiaoping Xu, Xuan Huang, Simin He, Jianping Zhang, Fei Liu, Shaoli Song   +8 more
wiley   +1 more source

Single‐Cell Map of Early Lung Adenocarcinoma Uncovers Invasion‐Associated Tertiary Lymphoid Structures

Advanced Science, EarlyView.
Early thoracic lesions are already heavily infiltrated by immune cells, yet these infiltrates largely consist of bystander T lymphocytes within an immunosuppressive microenvironment. Pathological invasion is strikingly associated with the neogenesis of T/B cell‐rich TLSs that predominantly remain immature.
Pengfei Ma, Chunming He, Mei‐Chun Cai, Jie Wu, Haijiao Lu, Shichao Zhou, Zhenfeng Zhang, Qing Zhang, Yunqing Chen, Jingyu Zang, Kaiyan Ye, Yu Shu, Chee Wai Chua, Hui Li, Yun Fan, Jing Wang, Zhuang Yu, Xinying Xue, Xiaojing Zhao, Guanglei Zhuang, Yujie Fu   +20 more
wiley   +1 more source

Bacillus Licheniformis‐Induced Cognitive Decline in Mice Linking Gut Microbiota Dysbiosis, Metabolic Perturbations, and Hippocampal Neuroinflammation

Advanced Science, EarlyView.
Chronic oral administration of specific probiotic strains triggers gut microbiota dysbiosis and systemic metabolic perturbations in mice. Multi‐omics profiling reveals subsequent hippocampal glial remodeling and neuroinflammation, which are linked to cognitive impairment.
Yibin Lin, Afeng Wang, Hongchang Zhou, Yuliang Sun, Yingying Guo, Keyu Chen, Junhong Sun, Tinliang Lin, Zhaochen Huang, Xinhua Qiang, Jie He, Jianlin Lou, Yunliang Yao, Shengwen Shao, Yongliang Pan, Xiang Wang   +15 more
wiley   +1 more source

Targeting a Calcium‐Associated Mitochondrial Vulnerability in TET2‐Deficient Myeloid Cells

Advanced Science, EarlyView.
Reduced TET2 function creates a calcium‐associated mitochondrial vulnerability in macrophages that is preferentially exploited by Lanatoside C. The resulting stress promotes apoptosis of TET2‐deficient macrophages, reduces inflammatory and fibrotic injury in human cardiac organoids, and highlights a genotype‐associated myeloid liability that may be ...
Yue Wang, Minh Duc Pham, Despina Stefanoska, Ting Yuan, Arka Provo Das, Chaonan Zhu, Meiqian Wu, Thanh Thuy Duong, Jaskiran Kaur, Yu Hao, Johannes Krefting, Marius Schwab, Jonathan Ward, Maria Duda, Wesley Abplanalp, Moritz von Scheidt, Andreas M. Zeiher, Stefanie Dimmeler, Jaya Krishnan   +18 more
wiley   +1 more source

Combinatorial Survey of Structural Phase Distribution and Magnetism in Fe‐Ge‐Te Composition‐Spread Thin Film Libraries

Advanced Electronic Materials, EarlyView.
ABSTRACT Magnetic 2‐dimensional (2D) van der Waals (vdW) materials have garnered tremendous attention. The vdW ferromagnet Fe5Ge1Te2 has a Curie temperature Tc of ≈ 270 K, which is tailorable by tuning the stoichiometry and the Fe deficiency to reach room temperature.
Chih‐Yu Lee, Takahiro Yamazaki, Peng Yan, Ryan Kim, Masato Kotsugi, Efrain E. Rodriguez, Joseph W. Bennett, Ichiro Takeuchi   +7 more
wiley   +1 more source

Machine learning driven many‐objective moving horizon scheduling optimization

AIChE Journal, EarlyView.
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source