Results 151 to 160 of about 82,972,811 (208)

Transparent Topological Meta‐Diplexer via Tightly Confined Valley Surface States

Advanced Science, EarlyView.
An optically transparent topological metasurface supporting tightly confined valley surface states enables robust and flexible wave routing in an ultrathin platform. A compact transparent meta‐diplexer with spatially and spectrally separated channels is realized, while communication experiments verify high‐fidelity signal transmission, opening new ...
Sijie Li, Ping Li, Zhihao Lan, Yin Li, Hang Wong, Menglin L.N. Chen   +5 more
wiley   +1 more source

An Interpretable, Data‐Driven, Hierarchical Multi‐Domain Fusion Framework for Classification and Motor Function Scoring in Chronic Ankle Instability

Advanced Science, EarlyView.
An AI‐enabled digital twin framework integrates wearable EMG sensing with hierarchical multi‐domain fusion to classify chronic ankle instability, distinguish clinically relevant subtypes, and generate continuous motor function scores. Clinically interpretable functional stratification and SHAP‐based biomarker analysis provide transparent decision ...
Tianle Jie, Datao Xu, Zhifeng Zhou, Bas Van Hooren, Huiyu Zhou, Yi Yuan, Xiangli Gao, Monèm Jemni, Liangliang Xiang, Meizi Wang, Justin Fernandez, Tibor J. Goda, Yaodong Gu   +12 more
wiley   +1 more source

STWave: Fine‐Scale Spatial Structure Discovery in Microscopic‐Resolution Spatial Transcriptomics via Patchwise Wavelet Graphs

Advanced Science, EarlyView.
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang, Songming Zhang, Xiaofeng Chen, Xiongtao Xiao, Wenming Cao, Weikai Li, Tong Zhao, Bing Li, Xinyue Xu, Zhongshan Li   +9 more
wiley   +1 more source

A Unified Hierarchical Multiscale Fusion Framework for Drug–Target Affinity Prediction: From Benchmark Performance to Nanomolar Inhibitor Discovery

Advanced Science, EarlyView.
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu, Xiang Zhang, Haixia Feng, Yuquan Li, Xiaoqing Gong, Yong Liang, Xiaojun Yao, Huanxiang Liu   +7 more
wiley   +1 more source

Tissue‐Agnostic Cellular Morphometric Biomarkers for Risk‐Adapted Management Across Gastrointestinal Precancerous Lesions and Cancers

Advanced Science, EarlyView.
An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang, Chengfei Jiang, April W. Mao, Qi Sun, Yijun Lu, Jingjing Wei, Jamie L. Inman, Susan E. Celniker, Antoine M. Snijders, David W. Threadgill, Allan Balmain, Bo Hang, Hang Chang, Lei Wang, Jian‐Hua Mao   +14 more
wiley   +1 more source

Disorder Driven Anisotropic Nonlinear Hall Effect in the Kagome Metal YbCo6Ge6 at Room Temperature

Advanced Science, EarlyView.
The intrinsic structural disorder and short‐range correlated motifs in the kagome metal YbCo6Ge6 constitute the primary mechanism for a robust and anisotropic nonlinear Hall effect (NLHE). This effect is sustained across a wide temperature range, achieving a nonlinear responsivity of up to ∼4.5 × 10−3 m/V at 70 K, higher than known disordered and ...
Qurat Ul Ain, Weiyao Zhao, Thanh Tung Huynh, Yuefeng Yin, Fang Tang, Yong Fang, Junlin Yan, Jacek Jasieniak, Timothy Petersen, Yang Liu, Nikhil V. Medhekar, Julie Karel   +11 more
wiley   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

Advanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang, Ziqi Liu, Zhengqian Zhang, Yikun Cao, Junjun Ren, Peng Cheng, Jingjing Tian, Lingyun Xie, Xin Lu, Zhanwei Du, Yongzhuang Liu   +10 more
wiley   +1 more source

Multi‐Technique Integration Identifies O‐GlcNAc Transferase in Fibroblast‐Like Synoviocytes as a Therapeutic Target for Rheumatoid Arthritis

Advanced Science, EarlyView.
AI‑guided single‑cell transcriptomics identifies OGT as a key regulator enriched in rheumatoid arthritis fibroblast‑like synoviocytes (RA‐FLSs). Inflammatory stimuli activate the OGT–SAP130 axis, which modulates the H3K27ac/H3K27me3 balance and epigenetically silences BTG2, promoting aggressive transformation of RA‑FLSs.
Duoli Xie, Jie Huang, Chunhao Cao, Zhenchao Tang, Xingchen Li, Jianmin Guo, Xinxin Chen, Fang Wang, Dongyi He, Jie Li, Yu Du, Bing He, Jianhua Yao, Aiping Lu, Chao Liang   +14 more
wiley   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

AI‐Powered, Temperature‐Resolved Centrifugal Microfluidics for Rapid 3D Phase‐Diagram Generation of Biomolecular Condensates

Advanced Science, EarlyView.
By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li, Pengjie Li, Kaiting Zhang, Yongqi Guo, Peng Chen, Bi‐Feng Liu, Yiwei Li   +6 more
wiley   +1 more source