Results 271 to 280 of about 2,525,063 (363)
Smoothed jackknife empirical likelihood method for ROC curve
Yun Gong, Liang Peng, Yongcheng Qi
openalex +1 more source
A deep learning framework called MolVisGNN is proposed to fuse 3D molecular visual information of drugs with multi‐source features, which proves the importance of 3D molecular visual information of drugs and the advancedness of this model in the field of drug discovery, and provides a reference for how to more comprehensively express small molecule ...
Zimai Zhang +9 more
wiley +1 more source
This work reports a Ni‐doped ZIF‐8 nanoplatform co‐encapsulating glucose oxidase and horseradish peroxidase, enabling a cascade catalytic reaction that produces hydroxyl radicals from endogenous glucose and hydrogen peroxide. Upon near‐infrared irradiation, the system simultaneously achieves photothermal and chemodynamic therapy, offering an effective ...
Jing Xu +8 more
wiley +1 more source
Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems
Ke Tang, Rui Wang, Tianshi Chen
openalex +2 more sources
This work introduces a label‐free SERS‐AI platform for rapid and interpretable diagnosis of polymicrobial urinary tract infections. By integrating Au@Ag@bPEI substrates with a CNN‐CBAM model, the system enables accurate bacterial identification and proportion prediction, while highlighting biologically relevant Raman features.
Zhonghua Shen +10 more
wiley +1 more source
A study on parametric approaches to compare areas under two correlated ROC curves
Nahid Sultana Sumi, Md Akhtar Hossain
openalex +1 more source
A fingerprint‐inspired piezoresistive sensor is developed for real‐time tension monitoring of wide‐width carbon fiber bundles. Fabricated by laser engraving, it shows high sensitivity, broad range, and durability under high‐temperature conditions. Integrated with a CNN achieving 96% anomaly classification accuracy, the system provides a practical ...
Xiaohua Wu +10 more
wiley +1 more source
Sample Size in Receiver-Operating Characteristic (ROC) Curve Analysis
Tomoyuki Kawada
openalex +2 more sources
This study reveals that CAFs‐derived EVs enriched with circTAX1BP1 drive CRLM by promoting VIRMA lactylation and SP1/TGF‐β signaling, creating a positive feedback loop via ITGA11+ myCAFs. Targeting EV‐circTAX1BP1 and TGF‐β disrupts this loop, offering a novel therapeutic strategy for CRLM.
Jia‐nan Tan +12 more
wiley +1 more source

