Results 41 to 50 of about 98,638 (216)

Integrated Multi‐Omics Reveals Cellular States and Microenvironmental Remodeling in Coexisting DCIS and IDC

Advanced Science, EarlyView.
Coexisting DCIS and IDC samples are profiled using spatial transcriptomics, single‐cell RNA sequencing, and single‐cell DNA sequencing. Integrative multi‐omics analysis reveals distinct malignant epithelial and microenvironmental features between DCIS and IDC, which are further validated using Xenium and multiplex immunohistochemistry.
Ning Zhang, Tong Wan, Siyue Zhang, Yunzhen Jiang, Peng Su, Jixin Liu, Zhitong Chen, Jie Hao, Haoyu Wang, Bing Chen, Wenjing Zhao, Lijuan Wang, Tao Xing, Qihuang Zhang, Ulf Schmitz, Zhiyong Ding, Nicola Crosetto, Bingqiang Liu, Qifeng Yang   +18 more
wiley   +1 more source

A Hybrid Hierarchical Framework for Quantifying Mechanical Markers in Atherosclerotic Disease Progression: A New Approach for Diagnosis and Risk Assessment

Advanced Science, EarlyView.
The mechanobiological basis of atherosclerotic progression and its contribution to spatial and temporal heterogeneity remain incompletely understood. Spatially resolved AFM measurements revealed that plaque formation and distinct regions (cap fibrosis, intimal fibrosis, and lipid‐rich core) exhibit heterogeneous elastic modulus and viscoelastic ...
Yidan Zhou, Zhuo Chang, Xianjun Wu, Sijie Wang, Yuzhi Zhang, Hao Zhang, Haoyu Xu, Ruining Peng, Zhe Wang, Huiyun Xu, Yu Liu, Guangkui Xu, Nu Zhang, Hui Yang   +13 more
wiley   +1 more source

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

Advanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong, Qin Luo, Xinyi Ding, Chaoqi Lu, Ru Zhang, Qingqing Tan, Zhiqing Pang, Defang Ouyang, Dongsheng Li, Jiaxuan Xia, Jianxin Wang   +10 more
wiley   +1 more source

SVM–ELM: Pruning of Extreme Learning Machine with Support Vector Machines for Regression

Journal of Intelligent Systems, 2015
Abstract Extreme Learning Machine provides very competitive performance to other related classical predictive models for solving problems such as regression, clustering, and classification. An ELM possesses the advantage of faster computational time in both training and testing. However, one of the main challenges
Saif Mahmood, Mohammad Hamiruce Marhaban, Fakhrul Zaman Rokhani, Khairulmizam Samsudin, Olasimbo Ayodeji Arigbabu   +4 more
openaire   +2 more sources

Multiband Optical Physical Unclonable Functions Based on Mixed‐Phase Multilevel Emissive Perovskites

Advanced Science, EarlyView.
In this paper, sustainable multiband optical PUFs were developed by constructing heterostructures between lead‐free phase‐mixed perovskites and cellulose fibers via a water‐assisted drop‐casting process. Cesium manganese bromide perovskites provide an environmentally benign composition while exhibiting excitation‐dependent multilevel photophysical ...
Seungbeom Park, Jiyoun Kim, Jiyoung Boo, Giho Kim, Jinsik Yoon, Junghyun Bae, Sangeun Cho, Wook Park, Dong Hyuk Park, Healin Im   +9 more
wiley   +1 more source

Hierarchical Organization of Biomaterials in the Formation of Photonic Nanostructures

Advanced Science, EarlyView.
Natural organisms create vibrant structural colors through precisely organized nanostructures formed under mild biological conditions. This review explores how cellulose, chitin, corneous beta‐protein, and melanin form complex nanostructures across molecular, mesoscale, and tissue levels.
Sangyeop Kim, Jihun Kang, Seunghwan Moon, Liliana D'Alba, Matthew D. Shawkey, Jong‐Souk Yeo   +5 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Early Prediction of Dementia Using Feature Extraction Battery (FEB) and Optimized Support Vector Machine (SVM) for Classification. [PDF]

Biomedicines, 2023
Javeed A, Dallora AL, Berglund JS, Idrisoglu A, Ali L, Rauf HT, Anderberg P.   +6 more
europepmc   +1 more source

Multiclass Contour-Preserving Classification with Support Vector Machine (SVM)

Journal of Intelligent Systems, 2016
Abstract Multiclass contour-preserving classification (MCOV) has been used to preserve the contour of the data set and improve the classification accuracy of a feed-forward neural network. It synthesizes two types of new instances, called fundamental multiclass outpost vector (FMCOV) and additional multiclass outpost vector (AMCOV ...
openaire   +3 more sources

Klasifikasi Wajah Menggunakan Support Vector Machine (SVM)

REMIK (Riset dan E-Jurnal Manajemen Informatika Komputer), 2019
Klasifikasi wajah merupakan teknik yang dapat digunakan untuk membedakan karakteristik pola wajah seseorang. Sistem klasifikasi wajah adalah suatu aplikasi yang membuat sebuah mesin dapat mengenali wajah seseorang sesuai dengan citra wajah yang telah ditraining dan disimpan  di dalam  database mesin  tersebut.
Rizal, Reyhan achmad, Girsang, Imron Sanjaya, Prasetiyo, Sidik Apriyadi   +2 more
openaire   +3 more sources