Results 151 to 160 of about 178,877 (269)

ANIMATE: Unsupervised Attributed Graph Anomaly Detection with Masked Graph Transformers. [PDF]

Sensors (Basel)
Hu J, Zhang Y, Zhu C, Hou C.
europepmc   +1 more source

Single‐Cell Annotation and Localization via Integrating Spatial Transcriptomics Maps the Mouse Ocular Atlas and RAO Dynamics

Advanced Science, EarlyView.
We developed the ASCAL pipeline, integrating complementary spatial transcriptomics, to construct a high‐fidelity mouse whole‐eye single‐cell atlas. Applying ASCAL to a retinal artery occlusion (RAO) model revealed spatially restricted immune activation localized to the ganglion cell layer and the selective depletion of a translationally active, outer ...
Chen Du, Yinming Li, Ziyue Li, Yuedan Wang, Shaopeng Li, Yijie Wang, Yingying Qu, Bingyang Lv, Ying Li, Ting Chen, Yu Zhou, Xuan Xiao   +11 more
wiley   +1 more source

Boosting thyroid nodule diagnosis through ultrasound and molecular imaging integration with unsupervised learning. [PDF]

Quant Imaging Med Surg
Facchinetti F, L'Imperio V, Piga I, Papetti DM, Capitoli G.   +4 more
europepmc   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Quantum circuit complexity and unsupervised machine learning of topological order. [PDF]

Nat Commun
Che Y, Gneiting C, Wang X, Nori F.
europepmc   +1 more source

KRT14 Drives Basal Muscle‐Invasive Bladder Cancer Progression and Lung Metastasis by Directly Binding to and Stabilizing IGF2BP1

Advanced Science, EarlyView.
We identified a Krt14+ Igf2bp1+ bladder cancer population linked to EMT. Mechanistically, KRT14 stabilizes and transports IGF2BP1 to invasive protrusions, initiating a positive feedback loop that drives metastasis and poor outcomes. ABSTRACT Basal‐type muscle‐invasive bladder cancer (BMIBC) is characterized by aggressive metastasis and poor prognosis ...
Shirui Huang, Zhihan Zhou, Qipeng Xie, Zheng Wang, Lijiong He, Yutong Liu, Lijuan Huang, Liuxian Ye, Limeng Hu, Baokun Li, Yang Wang, Xiaohui Hua, Xuelei Liu, Yunping Zhao, Jingxia Li, Jinfei Chen, Guiying Wang, Xian Shen, Wei Chen, Chuanshu Huang   +19 more
wiley   +1 more source

stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics

Advanced Science, EarlyView.
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang, Yan Wang, Luonan Chen, Chunman Zuo   +3 more
wiley   +1 more source

Automated knee MRI segmentation with KneeSeg-U for cartilage and bone extraction using an unsupervised deep learning framework. [PDF]

BMC Musculoskelet Disord
Rajeena PPF, Sadek Ali MA, Al Khaldi N, Sunder R, Rahoof PP, Lilhore UK, Simaiya S, Ghith ES, Hussien SA, Tekeste LG.   +9 more
europepmc   +1 more source

A Periosteum‐Inspired Janus Piezoelectric Scaffold Using Bioenergetic‐Driven H‐Type Vascularization for Diabetic Bone Regeneration

Advanced Science, EarlyView.
A periosteum‐inspired Janus piezoelectric scaffold converts micromechanical forces into electrical signals and synergizes with controlled resveratrol release. This dual action reprograms endothelial metabolism, drives H‑type vessel formation, and restores bone–vessel coupling in diabetic bone defects.
Kai Wang, Kai Jiang
wiley   +1 more source

Multicenter Study Suggests Unsupervised Learning Derived From MRI Identifies Prognostic Subgroups in Prostate Cancer Patients After Prostatectomy. [PDF]

Radiol Res Pract
Hu G, Liu X, Chen Z, Zhou B, Gan H, Chen R, Zhou L, Gu Y, Liu X.   +8 more
europepmc   +1 more source