Results 311 to 320 of about 342,420 (348)
Objective A leading cause of death among scleroderma (SSc) patients, interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M Padilla+13 more
wiley +1 more source
Objective We aimed to identify unique disease trajectories within rheumatoid arthritis‐associated interstitial lung disease (RA‐ILD) based on longitudinal forced vital capacity (FVC) values and their associated clinical outcomes. Methods We performed a cohort study of RA‐ILD within the Veterans Health Administration from 1999‐2021. RA‐ILD patients were
Bryant R. England+9 more
wiley +1 more source
A single-nucleus RNA sequencing atlas of the postnatal retina of the shark Scyliorhinus canicula. [PDF]
Vidal-Vázquez N+15 more
europepmc +1 more source
Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg+26 more
wiley +1 more source
Objectives This study aims to describe the frequency and timing of physician referrals to physical therapists (PT) and other treatments prescribed over 12 months in patients with recent onset of knee osteoarthritis (KOA). The study also aims to identify determinants of early PT referrals.
Samannaaz S. Khoja+4 more
wiley +1 more source
A left-lateralized dorsolateral prefrontal network for naming. [PDF]
Yu L+5 more
europepmc +1 more source
Comparative benchmarking of single-cell clustering algorithms for transcriptomic and proteomic data. [PDF]
Yin YH+8 more
europepmc +1 more source
UAV Onboard STAR-RIS Service Enhancement Mechanism Based on Deep Reinforcement Learning. [PDF]
Yan J, Xu Y, Yuan H, Xue C.
europepmc +1 more source
Identification of malignant cells in single-cell transcriptomics data. [PDF]
Andreatta M, Garnica J, Carmona SJ.
europepmc +1 more source