Publications by authors named "P Chao"

Background: The heterogeneity of systemic lupus erythematosus (SLE) poses a significant challenge in identifying biomarkers for assessing disease activity. Currently, there is a paucity of established biomarkers capable of evaluating SLE flares. This study aimed to identify novel biomarkers that exhibit improved diagnostic accuracy in assessing SLE activity.

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Article Synopsis
  • A multi-index nomogram prediction model was developed to assess clinically significant prostate cancer by integrating PI-RADS V2.1 scores, quantitative MRI parameters, and clinical factors in a study involving over 2000 patients.
  • The model's effectiveness was evaluated using various statistical methods, including AUC (Area Under the Curve), revealing high sensitivity and specificity, particularly with two models: one combining PI-RADS and PSAD, and another that added ADCmean.
  • Validation results indicated strong performance in predicting CSPCa across both internal and external cohorts, with no significant difference found between predicted and actual probabilities, supporting the model's reliability.
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Background: Drug-induced liver injury (DILI) is one of the most common liver diseases. The crucial role of lipid droplets (LDs) and hydrogen peroxide (HO), two important biomarkers in the pathophysiology of DILI, has spurred considerable efforts to accurately visualize HO and LDs for elucidating their functions in the progression of DILI. However, construction of a single fluorescent probe that is able to simultaneously image HO and LDs dynamics remains to be a challenging task.

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Recent advances in photonic optimization have enabled calculation of performance bounds for a wide range of electromagnetic objectives, albeit restricted to single-material systems. Motivated by growing theoretical interest and fabrication advances, we present a framework to bound the performance of photonic heterostructures and apply it to investigate maximum absorption characteristics of multilayer films and compact, free-form multi-material scatterers. Limits predict trends seen in topology-optimized geometries - often coming within factors of two of specific designs - and may be utilized in conjunction with inverse designs to predict when heterostructures are expected to outperform their optimal single-material counterparts.

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