Results 181 to 190 of about 406,412 (242)

Advancing healthcare through multimodal data fusion: a comprehensive review of techniques and applications. [PDF]

PeerJ Comput Sci
Teoh JR, Dong J, Zuo X, Lai KW, Hasikin K, Wu X.   +5 more
europepmc   +1 more source

Estimating Budget Impact and Joint Replacement Avoidance by Implementing a Standardized Education and Exercise Therapy Program for Hip and Knee Osteoarthritis in a Publicly Insured Health Care System

Arthritis Care &Research, Volume 77, Issue 6, Page 744-752, June 2025.
Objective The study objective was to estimate the budget impact of funding a standardized education and exercise therapy program, Good Life with osteoArthritis in Denmark (GLA:D) for people with hip and knee osteoarthritis (OA) waiting for total joint replacement (TJR) consultation in a universal publicly insured health care system in Canada.
Darren R. Mazzei, Jackie L. Whittaker, Peter Faris, Tracy Wasylak, Deborah A. Marshall   +4 more
wiley   +1 more source

Enhancing Gamma Knife Cone-beam Computed Tomography Image Quality Using Pix2pix Generative Adversarial Networks: A Deep Learning Approach. [PDF]

J Med Phys
Ramachandran P, Anderson D, Colbert Z, Arrington D, Huo M, Pinkham MB, Foote M, Fielding A.   +7 more
europepmc   +1 more source

Pregnancy Outcomes of Targeted Synthetic Disease‐Modifying Antirheumatic Drugs Among Patients With Autoimmune Diseases: A Scoping Review

Arthritis Care &Research, EarlyView.
Objective Targeted synthetic disease‐modifying antirheumatic drugs (tsDMARDs) have expanded the management of autoimmune diseases, including rheumatic diseases. As the use of these drugs grows, it is important to understand their effects on pregnancy.
Vienna Cheng, Neda Amiri, Vicki Cheng, Ursula Ellis, Jacquelyn J. Cragg, Mark Harrison, Laurie Proulx, Mary A. De Vera   +7 more
wiley   +1 more source

scPRINT: pre-training on 50 million cells allows robust gene network predictions. [PDF]

Nat Commun
Kalfon J, Samaran J, Peyré G, Cantini L.   +3 more
europepmc   +1 more source

Sex‐Related Differences in Efficacy and Safety Outcomes in Axial Spondyloarthritis Randomized Clinical Trials: A Systematic Literature Review and Meta‐Analysis

Arthritis Care &Research, EarlyView.
Objective We aimed to assess differences in baseline characteristics, efficacy, and safety of advanced therapies between male and female patients with axial spondyloarthritis (axSpA) in randomized controlled trials (RCTs). Methods We conducted a systematic literature search for RCTs assessing the efficacy of advanced therapies in patients with axSpA ...
Angel Gao, Jordi Pardo Pardo, Steven Dang, Lianne S. Gensler, Philip Mease, Lihi Eder   +5 more
wiley   +1 more source

The Impact of Pre-Treatment with Desensitizing Agents on the Effectiveness of In-Office Bleaching: An In Vitro Study. [PDF]

Materials (Basel)
Islam MS, Padmanabhan V, Abry MF, Mousa Ahmed KM, Aryal A C S, Rahman MM, El Bahra S.   +6 more
europepmc   +1 more source

Metabolic Consequences of Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Patients with rheumatoid arthritis (RA) may have metabolic disruption, which can contribute to adverse long‐term outcomes, for multiple reasons. Patients with RA appear to have a higher risk of sarcopenia, type 1 and type 2 diabetes mellitus, metabolic syndrome, and hypertension. Systemic inflammation in RA can cause a “lipid paradox,” with reduced low‐
Stevie Barry, Emily Sheng, Joshua F. Baker   +2 more
wiley   +1 more source

Beyond Words: Enhancing Clinical Guideline Comprehension With Icons. [PDF]

Open Forum Infect Dis
Comba IY, O'Horo JC, Gordon JE, Falck-Ytter Y, Moore MM, Morgan RL, Mustafa RA, Bhimraj A.   +7 more
europepmc   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source