Results 101 to 110 of about 31,771 (194)

Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer

International Journal of Cancer, EarlyView.
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago, Efthymios Ladoukakis, Dorota Scibior‐Bentkowska, Belinda Nedjai   +3 more
wiley   +1 more source

Steady bubbles and drops in inviscid fluids. [PDF]

Calc Var Partial Differ Equ
Meyer D, Niebel L, Seis C.
europepmc   +1 more source

Realistic Representation, Dynamic Evolution and Determinants of Institutional Quality in China

International Studies of Economics, EarlyView.
ABSTRACT The paper delves into the role of institutional quality in bolstering China's economic resilience post‐COVID‐19, CITIC‐Entropy. It divides institutions into basic and changeable categories, establishing an index system via the CITIC‐Entropy TOPSIS model.
Susu Wang, Qidi Zhang, Jing Fang
wiley   +1 more source

Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms

Journal of Intelligent Medicine, EarlyView.
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He, Nan Su, Yuqing Wang, Yulin Sun, Xin Weng, Tania Pereira, Chenggong Hu, Keliang Xie, Meijun Pang, Kuo Zhang, Chuanxiang Huang, Xiuyun Liu   +11 more
wiley   +1 more source

The cytoplasm of living cells can sustain transient and steady intracellular pressure gradients. [PDF]

Elife
Malboubi M, Esteki MH, Vaghela MB, Korsak LIT, Petrie RJ, Moeendarbary E, Charras G.   +6 more
europepmc   +2 more sources

Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Measurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. Purpose To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error‐prone imaging markers, thereby ...
Xiaofeng Wang, Walter Zhao, Yifan Wang, Deborah H. Kwon, Ting‐Yu Su, Nancy A. Obuchowski, Mark A. Griswold, Zhong Irene Wang, Dan Ma   +8 more
wiley   +1 more source

Robust and Integrable Time-Varying Metamaterials: A Systematic Survey and Coherent Mapping. [PDF]

Nanomaterials (Basel)
Koutzoglou I, Amanatiadis S, Kantartzis NV.   +2 more
europepmc   +1 more source

Benchmarking Hybrid CNN‐Transformer Versus Pure Transformer Architectures for Accelerated Hyperpolarized 129Xe MRI Reconstruction

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Hyperpolarized 129Xe MRI faces technical challenges including low signal‐to‐noise ratio and breath‐hold constraints. Current literature focuses on proprietary deep learning methods or image‐domain enhancements. Purpose To present a comprehensive evaluation of transformer and hybrid CNN‐transformer architectures integrating dual ...
Ramtin Babaeipour, Matthew S. Fox, Grace Parraga, Alexei Ouriadov   +3 more
wiley   +1 more source

Myricetin Nanofibers as Amorphous Delivery System. [PDF]

Pharmaceuticals (Basel)
Rosiak N, Rydyger W, Miklaszewski A, Cielecka-Piontek J.   +3 more
europepmc   +1 more source

Biological dosimetry dose-response curves for residents living near nuclear power plants in South Korea. [PDF]

Sci Prog, 2023
Jeong SK, Oh SJ, Kang YR, Kim H, Kye YU, Lee SH, Lee CG, Park MT, Baek JH, Kim JS, Jeong MH, Jo WS.   +11 more
europepmc   +1 more source