Results 201 to 210 of about 16,213,945 (263)

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

Electronics‐Free Visual Monitoring of Dry Eye Disease‐Related Tear Biomarkers Using Smart Scleral Lenses

Advanced Science, EarlyView.
An electronics‐free smart scleral lens passively monitors dry eye disease‐related tear biomarkers through colorimetric sensing of chloride, pH, and ocular surface temperature. Smartphone‐assisted image analysis enables quantitative interpretation, providing a simple, non‐invasive strategy for ocular health monitoring without integrated electronics ...
Ziheng Wang, Sang Mok Park, Dawn Meyer, Seul Ah Lee, Yumin Dai, Tianhao Yu, Taewoong Park, Feiyang Li, Jason Gerard Jedlicka, Tristan Michael Long, Oluwabunmi T. Oladele, Gillian C. Shaw, Shin Ae Park, Pete S. Kollbaum, Young L. Kim, Chi Hwan Lee   +15 more
wiley   +1 more source

A Thickness‐Invariant Origami Robot With Integrated Actuation and Multimodal Locomotion

Advanced Science, EarlyView.
A thickness‐invariant variation on the Yoshimura origami pattern is used as the basis of a robot, allowing power, actuation, and control systems to be embedded within the thickened panels of the pattern. The robot uses multiple kinematic branches to achieve distinct modes of locomotion, such as walking, running, galloping, and turning. ABSTRACT Origami
Davis Wing, Sam Bridge, William Bowler, Nathan Usevitch, Larry Howell   +4 more
wiley   +1 more source

UAV Path Optimization for Target Passive Localization Considering the Position Uncertainty of the Target. [PDF]

Sensors (Basel)
Lin J, Song L, Lu Y, Li X, Li W, Xu G.
europepmc   +1 more source

Tau Aggregate Imaging and Transcriptomics of Alzheimer's Disease Brain at Different Stages of Disease

Advanced Science, EarlyView.
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English, Dorothea Böken, Matthew W. Cotton, Matthew R. Cheetham, Johanna S. Jackson, Georg Meisl, John S. H. Danial, Paul M. Matthews, Nurun N. Fancy, David Klenerman   +9 more
wiley   +1 more source

Symbolically Regressing Fish Biomass Spectral Data: A Linear Genetic Programming Method With Tunable Primitives. [PDF]

J R Soc N Z
Huang Z, Xue B, Zhang M, Rooney JS, Gordon KC, Killeen DP.   +5 more
europepmc   +1 more source

Quantitative Visualization of Intracellular Nanometabolism Using Peak‐Shifted Dual‐State Emissive FRET Nanoprobes

Advanced Science, EarlyView.
This study reveals the long‐elusive intracellular dissolution mechanism of carrier‐free nanomedicines. By utilizing peak‐shifted dual‐state emissive FRET nanoprobes (PDFNPs) that undergo a distinct ratiometric fluorescence peak shift upon disassembly, we achieve real‐time, quantitative tracking of dissolution kinetics in live cells.
Farsai Taemaitree, Jinwoo Sung, Yutaro Miki, Ryuju Suzuki, Yoshitaka Koseki, Kunikazu Ishii, Minsang Kim, Keita Tanita, Kota Sato, Toru Nakazawa, Satoshi Katsube, Daisuke Unabara, Tasuku Hamaguchi, Keisuke Kawakami, Koji Yonekura, Akihide Hibara, Atsushi Wakamiya, Hiroshi Uji‐I, Hitoshi Kasai   +18 more
wiley   +1 more source

Wireless sensor network design with reliable and long network lifetime. [PDF]

Sci Rep
Çelik E, Keskin ME.
europepmc   +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