Publications by authors named "Qiuye Liao"
Ischemic stroke (IS) continues to be a major public health concern and is characterized by significantly high mortality and disabling rates. Inhibiting nerve cells death and enhancing the repair of ischemic tissue are important treatment concepts for IS. Currently, the mainstream treatment strategies mainly focus on short-term care, which underscores the urgent need for novel therapeutic strategies for long-term care.
View Article and Find Full Text PDFThe synergistic approach of combining photodynamic immunotherapy with endogenous clearance of PD-L1 immune checkpoint blockade therapy holds promise for enhancing survival outcomes in glioblastoma (GBM) patients. The observed upregulation of O-GlcNAc glycolysis in tumors may contribute to the stabilization of endogenous PD-L1 protein, facilitating tumor immune evasion. This study presents a pH-adapted excited state intramolecular proton transfer (ESIPT)-isomerized β-ketoamide-based covalent organic framework (COF) nanoplatform (denoted as OT@COF-RVG).
View Article and Find Full Text PDFArticle Synopsis
- - The study developed a machine learning model to predict outcomes in patients with high-grade aneurysmal subarachnoid hemorrhage (aSAH), emphasizing the importance of personalized treatment and using SHapley Additive exPlanations (SHAP) for interpretation.
- - Data from 421 high-grade aSAH patients were used, and the random forest model outperformed others, achieving an AUC of 0.867, with significant prognostic features including higher WFNS grade, advanced age, and the impact of coiling embolization on outcomes.
- - The findings highlight the effectiveness of machine learning in predicting patient prognosis and stress the value of SHAP analysis for understanding the model's predictions and aiding clinical decisions.