Results 31 to 40 of about 2,280 (224)

Multi‐Omics Integration Identifies a CDH3‐Associated Malignant Epithelial State and Immunosuppressive Niche to Predict Prognosis in Thymic Epithelial Tumors

Advanced Science, EarlyView.
Single‐cell, spatial, molecular, and pathology analyses identify a CDH3‐associated malignant epithelial state in thymic epithelial tumors. This state links stem‐like and EMT programs to M2 macrophage–rich immunosuppressive niches, genomic instability, poor survival, and drug vulnerability.
Yuntao Feng, Jingyu Chen, Lang Xia, Tao Wang, Yuzhou Wang, Lei Zhang, Guofang Zhao, Long Xu, Juemin Yu, Yunlang She, Junqi Wu, Yue Zhao, Chang Chen, Deping Zhao   +13 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

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

The EXPLAIN Study: Exploring Arthrogryposis Multiplex Congenita in Adults in Norway — A Description of Demographic, Medical, and Neurological Findings

American Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView.
ABSTRACT Arthrogryposis Multiplex Congenita (AMC) encompasses several hundred conditions with diverse genetic, pathophysiological, and clinical origins. The overarching EXPLAIN study explores underlying causes and implications of AMC and represents the largest clinical cohort of adults with AMC reported to date.
My Vuong Hermansen, Kristin Ørstavik, Unni Steen, Mathias Toft, Cathrine Brunborg, Lena Lande Wekre   +5 more
wiley   +1 more source

When meta‐analyses mislead: Promises and pitfalls in teratology counselling

British Journal of Clinical Pharmacology, EarlyView.
Meta‐analysis has become a central tool for evidence synthesis in clinical teratology, offering the promise of increased statistical power, earlier signal detection and consolidated guidance for teratology counselling. When conducted rigorously and interpreted carefully, pooled analyses can provide clinicians with a structured basis for risk ...
Yusuf Cem Kaplan, Nusret Uysal
wiley   +1 more source

Water Efficiency and Corporate Carbon Performance: The Roles of CSR, Regulation, and Industry Intensity

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether firm‐level water management efficiency is associated with corporate carbon emissions, and whether this association is moderated by corporate social responsibility (CSR) performance, environmental regulatory stringency, and industry water intensity.
Nadia Ben Farhat, Bilel Bzeouich, Khaled Hussainey   +2 more
wiley   +1 more source

Designing Governance for ESG: Incentive and Oversight Complementarities in Corporate Sustainability Performance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study investigates how internal governance design supports credible ESG performance by distinguishing between Incentive and Oversight Architectures. Using 13,993 firm‐year observations of US nonfinancial firms from 2018 to 2024, we estimate fixed effects and two‐step system GMM models.
Beyza Gürel, Nehir Balci, Mustafa Reha Okur   +2 more
wiley   +1 more source

The burden of the postictal state in epilepsy: A prospective, single‐center observational cohort study

Epileptic Disorders, EarlyView.
Abstract Objective The postictal state is a major yet underrecognized component of the epilepsy burden. We aimed to develop a structured patient‐reported instrument to quantify postictal recovery, characterize its multidimensional burden, and identify demographic, clinical, psychiatric, and treatment‐related factors associated with postictal severity ...
Ionuț‐Flavius Bratu, Agnès Trébuchon, Fabrice Bartolomei   +2 more
wiley   +1 more source

Astrocyte subtype‐specific alterations in the dentate gyrus of individuals with mesial temporal lobe epilepsy

Epilepsia Open, EarlyView.
Abstract Objective Epilepsy affects approximately 50 million people worldwide and, although primarily attributed to neuronal dysfunction, increasing evidence highlights a critical role of glial cells, particularly astrocytes, in the pathophysiological mechanisms.
Chiara Lötzsch, Jakob Johann Schmidt, Daniel Delev, Roland Coras, Ingmar Blümcke, Ruth Beckervordersandforth   +5 more
wiley   +1 more source