Results 71 to 80 of about 17,878 (214)

An 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 more
wiley   +1 more source

Smart Health Evaluation for Lithium‐Ion Battery With Super‐Short‐Segment Charging

Advanced Science, EarlyView.
This study proposes a health feature extraction method integrating degradation mechanism‐guided scale‐invariant feature transform with machine learning for lithium‐ion batteries. Validated across 87 commercial cells with diverse chemistries and formats, it achieves 1.97% RMSE in capacity estimation using only 10% charging segments. The approach enables
Qinghua Li, Zhongbao Wei, Hongwen He, Jun Shen, Yang Li, Xiaoguang Yang, Mahinda Vilathgamuwa   +6 more
wiley   +1 more source

Multi‐Mechanical Regulation of 3D Printed Triply Periodic Hyperbolic Surfaces via Fourier Synthesis‐Based Free Modeling

Advanced Science, EarlyView.
Arbitrary structural regulations of triple periodic hyperbolic surfaces are achieved using mathematical Fourier construction and 3D printing technology, enriching the geometric forms and achieving optimized mechanical behaviors. Abstract Triply periodic hyperbolic surfaces (TPHSs) have attracted significant attention due to their exceptional ...
Yanhong Zhang, Junming Zhang, Zhimei Zhou, Yan Li, Shunai Che, Weidong Yang, Lu Han   +6 more
wiley   +1 more source

Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches

Advanced Science, EarlyView.
This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding, Ke Liu, Sabine Grunwald, Pete Smith, Philippe Ciais, Bin Wang, Alexandre M.J.‐C. Wadoux, Carla Ferreira, Senani Karunaratne, Narasinha Shurpali, Xiaogang Yin, Dale Roberts, Oli Madgett, Sam Duncan, Meixue Zhou, Zhangyong Liu, Matthew Tom Harrison   +16 more
wiley   +1 more source

Dedifferentiation and Transfer in Executive Function and Math Ability Following a Five‐Year Abacus Training in Schoolchildren

Advanced Science, EarlyView.
While cognitive development typically exhibits differentiation, marked by decreasing inter‐domain correlations, this study demonstrates that five‐year abacus training is associated with de‐differentiation of executive function and mathematical ability in school‐aged children.
Tianyong Xu, Xinyang Liu, Hongjian He, Changsong Zhou, Andrea Hildebrandt, Feiyan Chen   +5 more
wiley   +1 more source

Unveiling the Fundamental Principles of Reconfigurable Resistance States in Silver/Poly(Ethylene Glycol) Nanofluids

Advanced Science, EarlyView.
The electrophoretic reorganization of Ag nanoparticles within a poly(ethylene glycol) leads to the formation of conductive bridges with reconfigurable resistance states. Diverse conduction characteristics of the bridge range between ohmic conduction, nonlinear tunneling, or space charge‐limited conduction, and high resistance states.
Daniil Nikitin, Kateryna Biliak, Mariia Protsak, Blessing Adejube, Suren Ali‐Ogly, Kateřina Škorvanková, Veronika Červenková, Ronaldo Katuta, Marco Tosca, Jan Hanuš, Zulfiya Černochová, Peter Černoch, Petr Štěpánek, Oleksandr Boiko, Paulina Szymoniak, Andreas Schönhals, Franz Faupel, Hynek Biederman, Alexander Vahl, Andrei Choukourov   +19 more
wiley   +1 more source

Memristive In‐Memory Object Detection with 128 Mb C‐Doped Ge2Sb2Te5 PCM Chip

Advanced Science, EarlyView.
A memristive in‐memory object detection system is presented for edge computing based on a 128 Mb phase change memory chip (40 nm, 99.99999 % yield) enabling in‐memory vector‐matrix multiplication and max computation. A novel mixed‐precision weight mapping reduces analog‐to‐digital‐converter energy by 22.3×.
Chenchen Xie, Yuqi Li, Longhao Yan, Sannian Song, Houpeng Chen, Ruijuan Qi, Xi Li, Yihang Zhu, Lianfeng Yu, Bonan Yan, Yaoyu Tao, Gaoming Feng, Yuchao Yang, Zhitang Song   +13 more
wiley   +1 more source

SGCD: High‐Resolution Spatial Domain Characterization via Data Interpolation and Cell‐Type Deconvolution

Advanced Science, EarlyView.
SGCD presents a novel approach for tissue spatial domain identification by employing interpolation to estimate inter‐spot gene expression and deconvolution to resolve cell‐type composition in both sampled and interstitial regions. By integrating gene expression, cell type, and spatial coordinates within a graph contrastive learning framework, SGCD ...
Tianjiao Zhang, Shenghe Li, Ruolan Zhang, Hongfei Zhang, Zhongqian Zhao, Hao Sun, Zhenao Wu, Guohua Wang   +7 more
wiley   +1 more source

Bioinspired Intelligent Soft Robotics: From Multidisciplinary Integration to Next‐Generation Intelligence

Advanced Science, EarlyView.
Soft robotics, featuring intrinsic compliance and biomimetic adaptability, emerges as transformative in next‐generation intelligent systems. This review outlines how advancements in four foundational domains—actuation, materials, manufacturing, and control—drive the evolution of bioinspired intelligent soft robotics, poised to redefine the boundaries ...
Xiaopeng Wang, Ruilai Wei, Zhongming Chen, Hao Pang, Haotian Li, Yang Yang, Qilin Hua, Guozhen Shen   +7 more
wiley   +1 more source

Circulating Tumor Cells Shed Shearosome Extracellular Vesicles in Capillary Bifurcations That Activate Endothelial and Immune Cells

Advanced Science, EarlyView.
Using microfluidic models of capillary networks, this study discovered that fluid shear stresses on circulating tumor cells transiting through capillary‐sized bifurcations shed a novel class of shear‐dependent large extracellular vesicle, “shearosomes”, whose proteome comprises of over 3000 distinct proteins.
Angelos Vrynas, Salime Bazban‐Shotorbani, Sara Arfan, Karishma Satia, Brian Cunningham, Gauhar Sagindykova, Mymuna Ashna, Aoyu Zhang, Diana Visan, Aisher Chen, Teige Matthews‐Palmer, Mathew Carter, Fiona Blackhall, Kathryn L. Simpson, Caroline Dive, Paul Huang, Sam H. Au   +16 more
wiley   +1 more source