D. Y. Wang

MRI-based radiomics model for predicting symptomatic hemorrhage in cerebral cavernous malformations: a two-center study

Abstract Predicting hemorrhage in cerebral cavernous malformations (CCM) supports clinical decisions by preventing the risk of fatal or disabling outcomes. This study developed models to predict symptomatic hemorrhage using radiomics features. A total of 153 non-hemorrhagic lesio...

Optimizing Vanadium Single‐Atom Nanozyme via Cluster‐Mediated Charge Orchestration for Modulating Immune Homeostasis in Intracerebral Hemorrhage

ABSTRACT Intracerebral hemorrhage (ICH) triggers excessive reactive oxygen species (ROS) accumulation and persistent neuroinflammation, which synergistically drive progressive neuronal damage and poor neurological functional recovery, severely restricting patient prognosis. Artif...