Results 241 to 250 of about 13,851 (306)

From molecular to macroscopic: predicting liquid-liquid phase equilibria and small-angle scattering of mixtures of organic liquids from atomistic simulation using Kirkwood-Buff theory. [PDF]

Chem Sci
Peroutka AA, Stephenson GB, Servis MJ.
europepmc   +1 more source

Clinical Significance of Therapeutic Drug Level Monitoring for Mycophenolate in Patients With Extrarenal Systemic Lupus Erythematosus—A Systematic Review and Meta‐Analysis

Arthritis Care &Research, EarlyView.
Objective Clinical response to mycophenolic acid (MPA) is highly heterogeneous; thus, therapeutic drug level monitoring (TDM) may help improve treatment efficacy. This systematic review and meta‐analysis examined therapeutic ranges for MPA levels associated with better outcomes and safety in patients with systemic lupus erythematosus (SLE ...
Zahraa Qamhieh, Dalia Sriwi, Callie Saric, Tripti Singh, Christie M. Bartels, Shivani Garg   +5 more
wiley   +1 more source

Urban low-altitude UAV path planning by fusing an enhanced A* algorithm with an adaptive artificial potential field method. [PDF]

Sci Rep
Gao W, Li L, Pang D.
europepmc   +1 more source

Developing and Evaluating a Laboratory‐Based Frailty Index for the Prediction of Long‐Term Health Outcomes in Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical FI. Methods We used data from a single‐center prospective cohort of adult patients with SLE whose baseline visit ...
Grace Burns, Samuel D. Searle, Alexandra Legge   +2 more
wiley   +1 more source

Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights From a Large International Sicca Registry

Arthritis Care &Research, EarlyView.
Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni, Chloe Shields, Rohit Muralidhar, Shreya Bhatt, Alan Baer, Robert Fox, Sara S. McCoy, Anat Galor   +7 more
wiley   +1 more source

The Rényi Entropy and Entropic Cosmology. [PDF]

Entropy (Basel)
Kruglov SI.
europepmc   +1 more source

Characteristics and Outcomes of Male Participants in a Multicenter Longitudinal Australian Study Cohort

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to determine the differences in demographic, serologic, and clinical characteristics between male and female patients with systemic sclerosis (SSc) in an Australian cohort. Methods This was a retrospective observational study using data from the Australian Scleroderma Cohort Study.
Emily Lin, Dylan Hansen, Laura Ross, Gene‐Siew Ngian, Susanna Proudman, Gabor Major, Maryam Tabesh, Mandana Nikpour, Jennifer Walker, Lauren Host, Nava Ferdowsi, Alannah Quinlivan, Wendy Stevens, Joanne Sahhar, Diane Apostolopoulos   +14 more
wiley   +1 more source

Coherent electrically-charged quantum black holes. [PDF]

Eur Phys J C Part Fields
Antonelli T, Sebastianutti M, Giusti A, Giusti A.   +3 more
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Shape and Scale in Quantifying Aortic Morphology Evolution and Chronicity. [PDF]

Cardiovasc Eng Technol
Pugar JA, Jiang D, Kim J, Pocivavsek L.
europepmc   +1 more source