Results 151 to 160 of about 427,912 (276)

Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO

Advanced Science, EarlyView.
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu, Jinpo Su, Haotian Zhou, Yilin Shen, Mengke Qin, Yingjie Luo, Tiancai Wang, Zhenglin Chen, Yuanyuan Wang, Xiaokai Ma   +9 more
wiley   +1 more source

Cost-effective primary health-centre allocation in Himalayan terrain: a spatial and resource-allocation analysis of Chamoli and Rudraprayag districts, India. [PDF]

Cost Eff Resour Alloc
Kalita NA, Vasishtha G.
europepmc   +1 more source

A Biomimetic Solvatochromic Chip With Optimized Chemical Diversity for On‐Site Liquid Identification

Advanced Science, EarlyView.
A compact biomimetic photonic‐gustatory chip uses Hansen‐solubility‐parameter‐guided solvatochromic disks to create distinct color patterns in organic liquids. An optimized four‐disk array distinguishes solvent types, ratios, homologues, isomers, and alcoholic beverages. Coupled with smartphone imaging and deep learning, it identifies 80 liquid classes
Jintao Zhang, Hao Ouyang, Yin Cheng, Nuoye Xiong, Xunchi Ma, Xueling Li, Guangming Zhu, Liang Zhang, Jing Sun, Ranran Wang   +9 more
wiley   +1 more source

A One-Year Study Using Digital Biomarkers From Sensing Technologies to Assess Changes in Physical Activity Levels and Sleep Quality in Nursing Home Residents With Dementia: Observational Study. [PDF]

JMIR Nurs
Boyle LD, Patrascu M, Husebo BS, Haugarvoll K, Steihaug OM, Marty B.   +5 more
europepmc   +1 more source

Cross‐Organ Multi‐Omics Profiling of Systemic Alterations in 5xFAD Mice and Changes Associated with Huanglian Jiedu Decoction Treatment

Advanced Science, EarlyView.
Cross‐organ multi‐omics reveals coordinated inflammatory and metabolic disturbances in 5xFAD mice. Huanglian Jiedu Decoction improves cognition and alleviates brain and liver abnormalities. Complementary hepatocyte–microglia conditioned‐medium experiments suggest PPAR‐γ involvement in treatment‐associated changes in microglial inflammation, providing ...
Wenya Gao, Jing Gao, Xiaohui Su, Xiangying Kong, Xiaolu Wei, Tunan Ding, Tiantian Guo, Shuangrong Gao, Yanyan Zhou, Junyi Zhou, Haiyu Zhao   +10 more
wiley   +1 more source

Efficient visualization of chemical space. [PDF]

Chem Sci
Surendran A, Zsigmond K, Chen L, Miranda-Quintana RA.   +3 more
europepmc   +1 more source

Integrated Multiomic Analysis Reveals an EBV‐Associated MIF–SPP1+ Macrophage Axis Linking Tumor Stemness and Immune Dysfunction in Nasopharyngeal Carcinoma

Advanced Science, EarlyView.
This study maps how Epstein–Barr virus reshapes the cellular ecosystem of nasopharyngeal carcinoma. It identifies SPP1+ macrophages as partners of stemness‐associated tumor cells and dysfunctional T cells, links tumor‐derived MIF to macrophage recruitment and programming, and shows that macrophage‐derived SPP1 promotes tumorsphere formation and impairs
Guo‐Ying Liu, Shu‐Hui Lv, Shui‐Qing He, Yao‐Fei Jiang, Xing‐Si Peng, Jian‐Cong Sun, Fen He, Hai‐Yan Qin, Nian Lu, Wei‐Xin Bei, Lin‐Yu Zhao, Wan‐Qin Shen, Ze‐Yu Zhao, Lin Wang, Yan‐Qun Xiang, Wang‐Zhong Li   +15 more
wiley   +1 more source

Molecular MRI Reveals Macrophage‐Enriched Peritumoral Immune Remodeling After Incomplete Ablation in Liver Cancer

Advanced Science, EarlyView.
Incomplete microwave ablation (iMWA) induced a spatially organized, macrophage‐rich immunosuppressive tumor microenvironment (TME) in orthotopic VX2 liver tumors. Molecular MRI enhanced with europium‐doped very small superparamagnetic iron oxide nanoparticles (Eu‐VSOP) noninvasively visualized this remodeling, showing preferential nanoparticle ...
Yubei He, Han Xu, Julian M. M. Rogasch, Nikolaus Berndt, Jing Guo, Eyk Schellenberger, Akvile Häckel, Luisa Heidemann, Friederike Hesse, Yu Liu, Justus Ramtke, Nicola Beindorff, Frank Hofheinz, Avan Kader, Michael Mülleder, Kathrin Textoris‐Taube, Bernd Hamm, Dominik N. Müller, Robin Schmidt, Ralf Hauptmann, Heike Traub, Mathias Schannor, Lynn Jeanette Savic   +22 more
wiley   +1 more source

Optimising [Formula: see text] PET imaging for dosimetry in SIRT: insights from phantom and simulation studies on the Discovery MI scanner. [PDF]

EJNMMI Phys
Sayah F, Presles B, Harb H, Pham TP, Alberini JL, Popoff R, Vrigneaud JM.   +6 more
europepmc   +1 more source

Deep Learning for AD Risk Screening and Progression Prediction

Advanced Science, EarlyView.
A pretrained MRI‐based deep learning model generalizes from Western cohorts to an independent Chinese cohort, detects Alzheimer's disease with high sensitivity, and identifies elevated AD risk years before diagnosis. Its risk scores align with cognition and plasma biomarkers, and individualized brain risk maps uncover clinically distinct subtypes ...
Bin Lu, Yan‐Rong Chen, Rui‐Xian Li, Ming‐Kai Zhang, Shao‐Zhen Yan, Guan‐Qun Chen, Jing‐Hua Wang, Wen‐Hui Chai, Francisco Xavier Castellanos, Paul M. Thompson, Jie Lu, Ying Han, Chao‐Gan Yan   +12 more
wiley   +1 more source