Results 121 to 130 of about 589,029 (277)

Prevalence, Determinants, and Outcomes of Low Disease Activity and Remission Attainment in Patients With Systemic Lupus Erythematosus That Is Clinically Active

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to identify in patients with systemic lupus erythematosus (SLE) with clinically active disease the attainment of frequency and determinants of Lupus Low Disease Activity State (LLDAS) and Definition of Remission in SLE (DORIS) and the frequency and determinants of flare and damage accrual after target attainment.
Yanjie Hao   +39 more
wiley   +1 more source

Exploring Patients’ Profiles Associated With the Resolution of Acute Calcium Pyrophosphate Arthritis Treated With Colchicine and Prednisone: Post Hoc Analysis of a Randomized Controlled Trial

open access: yesArthritis Care &Research, EarlyView.
Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart   +14 more
wiley   +1 more source

Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets. [PDF]

open access: yesComput Struct Biotechnol J, 2022
Mahalanabis A   +9 more
europepmc   +1 more source

Evaluation of a novel EHR sidecar application to display RA clinical outcomes during clinic visits: results of a stepped‐wedge cluster randomized pragmatic trial

open access: yesArthritis Care &Research, Accepted Article.
Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk   +16 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
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

Using unsupervised learning to classify inlet water for more stable design of water reuse in industrial parks

open access: yesWater Science and Technology
The water reuse facilities of industrial parks face the challenge of managing a growing variety of wastewater sources as their inlet water. Typically, this clustering outcome is designed by engineers with extensive expertise.
Kan Chen   +6 more
doaj   +1 more source

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