Results 121 to 130 of about 248,185 (261)

Bilateral SERS‐Microneedle Patch for Co‐Diagnosis of Diabetes Mellitus and Tuberculosis Comorbidity

open access: yesAdvanced Science, EarlyView.
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

PancDS in Real‐World Practice: A Prospective Multicenter Validation of a Clinical Decision‐Support System Bridging Experience Gaps in Pancreatic Lesion Diagnosis

open access: yesAdvanced Science, EarlyView.
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

Senescent Cell Derived Artificial Vesicle‐Based Senolytic Sonovaccine Platform with Augmented Lymph Node Delivery and Antigen Cross‐Presentation Efficacy

open access: yesAdvanced Science, EarlyView.
A senolytic sonovaccine platform (SenoVac) is developed, in which senescent cell‐derived vesicles serve as broad senescent cell antigen reservior. The “2‐step” click chemistry strategy for effective lymph node delivery, and ultrasound‐triggered endosomal escape to boost cross‐presentation, ensures efficient senescent cell clearance and disease ...
Liang Zhang   +10 more
wiley   +1 more source

Noninvasive Characterization of Tumor Heterogeneity in HNSCC: From Clinical Utility to Biological Correlates

open access: yesAdvanced Science, EarlyView.
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

Predicting the murine enterocyte metabolic response to diets that differ in lipid and carbohydrate composition. [PDF]

open access: yesSci Rep, 2017
Sinha N   +5 more
europepmc   +1 more source

Artificial Intelligence‐Based Body Composition Analysis Reveals Sex‐Specific Prognostic Markers and Their Clinical Value in Gastric Cancer: A Multicenter Study

open access: yesAdvanced Science, EarlyView.
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

SuFEx‐Enabled Reprogramming of Flavonoids for Selective α‐Glucosidase Covalent Inhibition

open access: yesAdvanced Science, EarlyView.
Selective inhibition of intestinal α‐glucosidase remains limited by poor enzyme specificity and off‐target metabolic effects. Here, SuFEx click chemistry is used to reprogram natural flavonoids into covalent inhibitors with enhanced α‐glucosidase selectivity and controlled reactivity. This strategy enables effective regulation of carbohydrate digestion
Fengyu Guo   +14 more
wiley   +1 more source

Carbohydrate Composition Associated with the 2-Year Incidence of Metabolic Syndrome in Korean Adults. [PDF]

open access: yesClin Nutr Res, 2017
Cho NH   +8 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy