Results 261 to 270 of about 11,062,766 (349)
Stakeholder Perspectives on Affinity Domains in Digital Health Interoperability: Qualitative Study.
Bruthans J, Hospodková P, Fejfarová I.
europepmc +1 more source
FAIR data gaps and collaboration willingness among hemoglobinopathy research centers. [PDF]
Tamana S +5 more
europepmc +1 more source
Clinical, histological, and serological predictors of renal function loss in lupus nephritis.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang +21 more
wiley +1 more source
Recommendations for HLA Genotyping Data Standards and Clinical Laboratory Staffing Considerations. [PDF]
Spierings E +9 more
europepmc +1 more source
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu +2 more
wiley +1 more source
The Current Landscape of Ophthalmology Training in Europe. [PDF]
Sidiropoulou M.
europepmc +1 more source
Objectives This study aimed to describe real‐world trends in preconception and prenatal use of antirheumatic drugs among pregnant individuals with rheumatic diseases in Ontario, Canada. Methods We conducted a time‐series analysis using repeated cross‐sectional data to examine annual patterns of disease‐modifying antirheumatic drug (DMARD) use among ...
Shenthuraan Tharmarajah +6 more
wiley +1 more source
Bridging evidence worlds: policy and practice pathways for integrating clinical trials and real-world data in drug development and HTA. [PDF]
Sagkriotis A.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

