Results 11 to 20 of about 3,018 (218)

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis

Advanced Science, EarlyView.
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu, An Shao, Bingtao Guan, Ziyao Luo, Weiyi Lai, Xiaoling Huang, Jun Liu, Jie Yan, Huimin Li, Xiangji Pan, Jiawei Wang, Zichang Su, Yih Chung Tham, Jie Yang, Haotian Lin, Juan Ye, Hongxia Xu, Jian Wu   +17 more
wiley   +1 more source

Magnetic Resonance Imaging Reveals Meningeal Lymphatic Impairment in Lung Adenocarcinoma Brain Metastasis Progression

Advanced Science, EarlyView.
This study demonstrates meningeal lymphatic impairment associated with lung adenocarcinoma brain metastasis progression in both human patients and mouse models, establishes clinically applicable non‐invasive imaging biomarkers for quantitative analyzing mLV structure and function, and reveals mLVs as robust prognostic indicators and promising potential
Yuan Zhang, Shucheng Jin, Penghui Guo, Yuying Yin, Yichun Hua, Xiaosheng Ding, Zhe Zhang, Shuo Chen, Xu Han, Baowang Li, Yan Liu, Xiaoyan Li, Deling Li, Jing Jing, Wei Shi, Wang Jia   +15 more
wiley   +1 more source

Genetic Control of Tissue Remodeling by a Non‐Coding SNP in ITGA8 Explains Carotenoid‐Based Color Polymorphism in Marine Mollusks

Advanced Science, EarlyView.
In this study, the orange‐muscle giant abalone (Haliotis gigantea) is used as a model to identify a non‐coding SNP that disrupts the interaction between ITGA8 pre‐mRNA and the splicing factor ILF2, leading to altered ITGA8 splicing. These splicing changes promote carotenoid accumulation in abalone muscle through the regulation of tissue remodeling ...
Xiaohui Wei, Wenzhu Peng, Zekun Huang, Bingye Yang, Yiyu Wu, Minzhen Han, Yi Wang, Bingling Peng, Guosheng Hu, Jiawei Hong, Guijia Liu, Linwei Nie, Yang Gan, Miaoqin Huang, Xuan Luo, Weiwei You, Wen Liu, Caihuan Ke   +17 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source

Plasma Proteomics Identifies Thousand‐and‐One–Amino Acid Kinase 3 as a Potential Biomarker of Rheumatoid Arthritis Activity and a Novel Therapeutic Target

Arthritis &Rheumatology, EarlyView.
Objective Bone destruction associated with active rheumatoid arthritis (RA) remains a major therapeutic challenge, with a lack of reliable molecular markers reflecting bone injury. This study aims to identify novel biomarkers linked to bone destruction in active RA through proteomic analysis, providing new strategies for precise monitoring and targeted
Pengfei Xin, Wenzhen Li, Xinyu A, Jun Shen, Xiaohui Meng, Yanqin Bian, Haihui Han, Zheng Xiang, Lei Ran, Songtao Sun, Jun Xie, Tao Yue, Qi Zhu, Xiaoming Zhang, Lu Xie, Lianbo Xiao   +15 more
wiley   +1 more source

Debunking the Myth: A Dive Into the Role of Relational Capital in Sustainable Food Production Systems

Business Strategy and the Environment, EarlyView.
ABSTRACT The shift towards sustainable food production is essential to address the urgent dual challenges of climate change and population growth, with agricultural cooperatives playing a vital role in this transformation. However, many cooperatives struggle to deliver the expected value to their members.
Ismail Badraoui, Tarik Saikouk, Nejib Fattam, Ahmed Hamdi, Vikas Kumar   +4 more
wiley   +1 more source

National Identity Meaning and Attitudes Toward War, Peace, and the Future of Ukraine

Conflict Resolution Quarterly, EarlyView.
ABSTRACT The link between attitudes and social identity is complex, influencing perceptions, motivations, and actions. Social psychological research mainly focused on the role of attitude in identity formation, particularly in the contexts of social movements and collective action.
Karina V. Korostelina, Ksenia Bakhtiarova, A. Zakharchenko, O. Rohalov, V. Molotsiian, O. Zakharchenko, M. Fursenko   +6 more
wiley   +1 more source

Patterns and Drivers of Spanish Corporate Commitment to the UN Global Compact: A Quantitative Approach

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This paper presents a quantitative assessment of Spanish companies' commitment to the United Nations Global Compact (UNGC) and the Sustainable Development Goals (SDGs). Analyzing over 1000 participating firms, we identify prioritization patterns and examine structural factors influencing SDG adherence.
Juan Laborda, Juan Pérez
wiley   +1 more source