Results 131 to 140 of about 25,511,154 (361)

Combining Three Peripheral Blood Biomarkers to Stratify Rheumatoid Arthritis‐Associated Interstitial Lung Disease Risk

Arthritis Care &Research, Accepted Article.
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase (MMP)‐7, and serum anti‐malondialdehyde‐acetaldehyde (anti‐MAA) antibody for RA‐associated interstitial lung disease risk stratification. Methods Using a multicenter cohort of US veterans with RA, we performed a cross‐
Kelsey Coziahr, Austin M. Wheeler, Brent A. Luedders, Michael Duryee, Halie Frideres, Katherine D. Wysham, Grant W. Cannon, Gary Kunkel, Dana P. Ascherman, Paul A. Monach, Gail S. Kerr, Andreas M. Reimold, Scott M. Matson, Joshua F. Baker, Geoffrey M. Thiele, Ted R. Mikuls, Bryant R. England   +16 more
wiley   +1 more source

The temporal trends and short‐ and long‐term mortality of people with acute myocardial infarction and rheumatoid arthritis: a nationwide cohort study

Arthritis Care &Research, Accepted Article.
Aims We investigated whether a diagnosis of rheumatoid arthritis (RA) affects the quality of inpatient acute myocardial infarction (AMI) care and long‐term mortality post‐AMI. Methods We analysed data from 784,091 adults, 6,047 with a diagnosis of RA, from England and Wales hospitalised with AMI between 2005 and 2019 from the MINAP registry, linked ...
Megan Butler, Nicholas Weight, Muhammad Rashid, Rodrigo Bagur, Purvi Parwani, Samantha Hider, Edward Roddy, Robert Butler, Mamas A Mamas   +8 more
wiley   +1 more source

Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus

Arthritis Care &Research, Accepted Article.
Background Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined: 1) associations between economic insecurities and PROs; 2) the impact of screening and addressing economic insecurities during ...
Jay Patel, Tripti Singh, Meredith Ingersoll, Shelby Gomez, Amanda Weber, Sarah E. Panzer, Sancia Ferguson, Christie M. Bartels, Shivani Garg   +8 more
wiley   +1 more source

Multivariate Statistical Process Control Charts: An Overview [PDF]

In this paper we discuss the basic procedures for the implementation of multivariate statistical process control via control charting. Furthermore, we review multivariate extensions for all kinds of univariate control charts, such as multivariate ...
Bersimis, Sotiris, Panaretos, John, Psarakis, Stelios   +2 more
core   +1 more source

Use of a Molecular Signature Response Classifier to Inform Treatment Selection Improves Clinical Disease Activity Among Patients with Rheumatoid Arthritis Initiating a Biologic or Targeted Synthetic Disease‐modifying Antirheumatic Drug

Arthritis Care &Research, Accepted Article.
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD) Methods PrismRA incorporated 19 gene expression features and 4 clinical features to assess a patient's likelihood of ...
Fenglong Xie, Timothy Beukelman, Nicholas P McCormick, Jeffrey R Curtis   +3 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Network analysis of multivariate data in psychological science

Nature Reviews Methods Primers, 2021
D. Borsboom, M. Deserno, M. Rhemtulla, S. Epskamp, Eiko I. Fried, R. McNally, D. Robinaugh, M. Perugini, J. Dalege, G. Costantini, A. Isvoranu, Anna C. Wysocki, Claudia D van Borkulo, R. van Bork, L. Waldorp   +14 more
semanticscholar   +1 more source

4D Mapping of ZIF Biocomposites for High Protein Loading and Tunable Release Profiles

Advanced Functional Materials, EarlyView.
Systematic four‐dimensional mapping of zeolitic imidazolate framework biocomposites reveals how precursor ratios, total concentration, and washing define crystalline phase, protein loading, and release kinetics. This comprehensive study identifies conditions yielding record loading (∼85%) and precise phase–property correlations.
Michael R. Hafner, Francesco Carraro, Behnaz Abbasgholi‐NA, Simone Dal Zilio, Max Schmallegger, Helmar Wiltsche, Lingcong Ge, Michael R. Reithofer, Efwita Astria, Laura Villanova, Heinz Amenitsch, Christian Doonan, Paolo Falcaro   +12 more
wiley   +1 more source

Application of multivariate statistical analysis for CNC milling of large Ti-6Al-4V components

, 2019
L. Asensio Domínguez, Alborz Shokrani, Joseph M. Flynn, Vimal Dhokia, Stephen T. Newman   +4 more
openalex   +1 more source

Extensive Review of Materials for Next‐Generation Transparent Batteries and Their Design Strategies

Advanced Functional Materials, EarlyView.
Review explores emerging materials and design strategies for transparent batteries, examining electrodes, electrolytes, separators, and device architectures optimized for high electrochemical performance, mechanical flexibility, and optical transparency.
Atul Kumar Mishra, Shuvaraj Ghosh, Malkeshkumar Patel, Sourov Hossain, Ju‐Hyung Yun, Joondong Kim   +5 more
wiley   +1 more source