Results 201 to 210 of about 17,239,975 (301)

Prevalence of Dietary Supplement Use and Potential Medication Interactions Among Adults With Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize the prevalence and correlates of dietary supplement use, identify commonly used supplements, and evaluate potential supplement–medication interactions among adults with systemic lupus erythematosus (SLE).
Sarah L. Patterson, Russell Ellyson, Jessica Fitzpatrick, Ghizlane Yaakoubi, Bradley Pearce, S. Sam Lim, Jinoos Yazdany, Laura C. Plantinga   +7 more
wiley   +1 more source

Real‐World Effectiveness and Safety of Secukinumab in Giant Cell Arteritis: An Italian Multicenter Cohort Study

Arthritis Care &Research, EarlyView.
Objective The objective of this study was to evaluate the real‐world effectiveness and safety of secukinumab in patients with giant cell arteritis (GCA). Methods This multicenter retrospective study included patients with GCA who received secukinumab at 14 Italian centers with at least six months of follow‐up.
Luca Iorio, Federica Davanzo, Caterina Ricordi, Milena Bond, Ruggiero Mascolo, Jacopo Mora, Alessandro Tomelleri, Angelo Fassio, Francesca Cuzzocrea, Sara Monti, Edoardo Conticini, Fabiola Atzeni, Paolo Delvino, Carlotta Nannini, Augusta Ortolan, Francesco Pollastri, Ester Vivaldelli, Chiara Marvisi, Paola Toniati, Antonio Brucato, Alessandra Milanesi, Francesca Regola, Enrico Tombetti, Lorenzo Dagna, Roberta Ramonda, Christian Dejaco, Luca Quartuccio, Carlo Salvarani, Roberto Padoan   +28 more
wiley   +1 more source

Real‐World Safety of Concomitant Colchicine and Statin Therapy

Arthritis Care &Research, EarlyView.
Objective This study aimed to evaluate the risk of clinically meaningful muscle‐ and liver‐related outcomes associated with concomitant colchicine–statin therapy in a real‐world setting, and to determine whether concomitant therapy increases the incidence of toxicity compared with either agent alone.
Roni Meidan, Ranel Loutati, Dan Caspi, Ori Elkayam, Ran Abuhasira, Tali Eviatar   +5 more
wiley   +1 more source

Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns

Arthritis Care &Research, Accepted Article.
Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen, Yasuo Nagafuchi, Kristina Lend, Seyam Alemyar, Herman Kasper Glas, Gerdur Gröndal, Bjorn Gudbjornsson, Espen A. Haavardsholm, Kim Hørslev Petersen, Jon Lampa, Merete Lund Hetland, Dan Nordström, Mike Nurmohamed, Mikkel Østergaard, Anna Rudin, Marte Schrumpf Heiberg, Tuulikki Sokka‐Isler, Till Uhlig, Josien Veris‐van Dieren, Ronald van Vollenhoven, Tom Huizinga, Marcel JT Reinders, Sytske Anne Bergstra, Erik van den Akker, Rachel Knevel   +24 more
wiley   +1 more source

Independent evaluation of machine learning and deep learning models for breast cancer detection. [PDF]

PLOS Digit Health
Deepthi, Nayak A, Panicker RO.
europepmc   +1 more source

Positive Affect is Associated with Better Physical Function in Early Rheumatoid Arthritis

Arthritis Care &Research, Accepted Article.
Objective This study examined the association between positive affect and physical function in individuals with early rheumatoid arthritis (RA). Methods We analyzed baseline data from 129 adults with early RA (persistent joint symptoms for ≤ 24 months) and active disease enrolled in the Central Pain in RA 2 (CPIRA‐2) study.
Burcu Aydemir, Jing Song, Lutfiyya N. Muhammad, Wendy Marder, Kevin Deane, Clifton Bingham, Lisa A. Mandl, Robert Edwards, Judith T. Moskowitz, Yvonne C. Lee   +9 more
wiley   +1 more source

Factors associated with prior pregnancy loss among multigravid women: a retrospective machine learning analysis from an African population cohort. [PDF]

Front Glob Womens Health
Nabisubi P, Kintu TM, Atwine MT, Bumba J, Muwonge L, Agasi H, Kiberu D, Okwir J, Kakembo FE, Jjingo D, Nakimuli A, Galiwango R.   +11 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

Exploring the mechanisms of social jet lag in risk decision-making with machine learning models. [PDF]

Front Psychiatry
Wang C, Chen W, Xu N, Xu M.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source