Results 151 to 160 of about 407,586 (267)

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

Optimisation of measurement and data analysis of time-resolved X-ray absorption spectroscopy of thin film organic semiconductors.

Faraday Discuss
Alonso-Garcia B, Manresa-Nalda MM, Alexander OG, Hu K, Egun FS, Donnellan Z, Broughton JJ, Lee JP, Hoffman DJ, Kunnus K, Bain M, Garratt D, Gessner O, Matthews MR, Marangos JP.   +14 more
europepmc   +1 more source

Microfluidic Production of Dexamethasone-Loaded PLGA Microparticles: Dynamic Solvent Extraction Improves Process Robustness During the Droplet-to-Particle Transition. [PDF]

Pharmaceutics
Amanatchi N, Bihi I, Briet M, De Malsche W, Hellemans KH.   +4 more
europepmc   +1 more source

Validation of Patient‐Reported Outcomes Measurement Information System (PROMIS) Pediatric Measures for Children With Chronic Nonbacterial Osteomyelitis

Arthritis Care &Research, EarlyView.
Objective To assess the validity of the Patient‐Reported Outcomes Measurement Information System (PROMIS) Pediatric measures in patients with chronic nonbacterial osteomyelitis (CNO). Methods Within the longitudinal patient registry of CNO, English‐speaking patients aged 8 years and older self‐reported PROMIS Pediatric measures of fatigue, pain ...
Mary M. Eckert, Eveline Y. Wu, Melissa Oliver, Joshua Scheck, Sivia Lapidus, Ummusen Kaya Akca, Shima Yasin, Aleksander Lenert, Sara Stern, Antonella Insalaco, Manuela Pardeo, Gabriele Simonini, Edoardo Marrani, Xing Wang, Bin Huang, Leonard K. Kovalick, Natalie Rosenwasser, Erin Balay‐Destrude, Gabriel Casselman, Adriel Liau, Ava Klein, Yurong Shao, Claire Yang, Molly Briggs, Ethan Mueller, Emily Deng, Paige Rhiannon Trunnell, Iris Hamilton, Elise Machrone, Doaa Mosad Mosa, Lori Tucker, Hermann Girschick, Ronald M. Laxer, Georgina Tiller, Jonathan Akikusa, Christian M. Hedrich, Karen Onel, Fatma Dedeoglu, Marinka Twilt, Seza Ozen, Polly J. Ferguson, Laura Schanberg, Bryce B. Reeve, Yongdong Zhao   +43 more
wiley   +1 more source

Multi-omic analyses of the same sample using metabolomics, lipidomics, proteomics, phosphoproteomics, and glycoproteomics.

Chem Commun (Camb)
Wang Y, Peng X, Liu H, Gidley M, Kelly B, Pearce EL, Pearce EJ, Han X, Zhang H.   +8 more
europepmc   +1 more source

Development and validation of a green dispersive liquid-liquid microextraction-LC-MS/MS method for sotalol quantification in human plasma using central composite design optimization and pharmacokinetic application. [PDF]

Sci Rep
Serag A, Abduljabbar MH, Alosaimi ME, Baryyan AO, Alnemari RM, Redwan FF, Almalki AH.   +6 more
europepmc   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

Category-ComBat with distribution coefficient: a scale-adaptive harmonization algorithm for multicenter radiomic feature standardization. [PDF]

Front Oncol
Zhang X, Wang X, Wang W, Lu L, Marhaban MH, Dong X, Liu Y.   +6 more
europepmc   +1 more source

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

Arthritis Care &Research, Accepted Article.
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Ultrasound-assisted extraction of Allium macrostemon Bunge polysaccharides: optimization of extraction process, structural characterization and immunomodulatory effects. [PDF]

Ultrason Sonochem
Yao J, Ma A, Chen Y, Zhang Y, Tang X, Shi S, Han X, Zhang T.   +7 more
europepmc   +1 more source