Results 141 to 150 of about 1,727 (205)
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source
Integrative multi‐omics analysis delineates a mitochondrial–immune axis governing neoadjuvant chemotherapy response in high‐grade serous ovarian cancer. Immune‐active tumors exhibit enhanced B‐cell infiltration and favorable sensitivity, whereas metabolically rewired tumors display oxidative phosphorylation dependency and resistance.
Wei Jiang +11 more
wiley +1 more source
TOLLIP Inhibits Psoriasis Progression via Suppressing PKM2‐Mediated Glycolysis in Keratinocytes
In this study, we identify TOLLIP as a critical regulator of psoriasis pathogenesis through its modulation of glycolytic metabolism. Our findings establish the TOLLIP‐PKM2‐glycolysis axis as a key mechanism linking metabolic reprogramming to psoriasis pathogenesis, and propose TOLLIP as a promising therapeutic target.
Xiuhuan Jiang +11 more
wiley +1 more source
Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters +12 more
wiley +1 more source
Bilateral SERS‐Microneedle Patch for Co‐Diagnosis of Diabetes Mellitus and Tuberculosis Comorbidity
Our study introduced a U@mP@Au‐mediated bilateral SERS‐microneedle patch for analyzing glucose levels from ISF and sensitively detecting TB biomarkers from sputum, respectively. This integrated dual‐analyte detecting platform can be used for co‐diagnosis of diabetes mellitus (DM) and tuberculosis (TB) comorbidity, which was demonstrated in ex vivo ...
Xueqin Huang +12 more
wiley +1 more source
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang +13 more
wiley +1 more source
This study establishes a CT‐based radiomics framework to quantify intratumoral heterogeneity (ITH) in HNSCC. Using unsupervised clustering, tumor ROIs and VOIs are analyzed to calculate 2D/3D ITH scores. The score shows strong predictive value for prognosis and immunotherapy response, and is associated with tumor metabolism and immune microenvironment,
Xinwei Chen +15 more
wiley +1 more source
Precisely Printing Perovskite Nanocrystals in Glass via Thermoelectric Synergistic Effect
Based on the direct migration and enrichment of Cs ions in glass driven by thermoelectric fields, a novel method has been developed to achieve controllable crystallization and patterned distribution of CsPbBr3 PNCs in stable glass. The distribution scale of PNCs strongly depends on the thermoelectric processing conditions (temperature, electric field ...
Zhiheng Miao +6 more
wiley +1 more source
Radioresistance severely limits the efficacy of therapies for small cell lung cancer (SCLC). This study reveals a novel mechanism of resistance driven by the active suppression of pyroptosis. Specifically, the mTORC2 complex directly phosphorylates GSDME‐N and promotes its CUL4B‐mediated ubiquitination and proteasomal degradation.
Qing‐qing Xu +11 more
wiley +1 more source
This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li +13 more
wiley +1 more source

