Results 161 to 170 of about 2,368,157 (325)

Preferences for Posttraumatic Osteoarthritis Prevention Strategies in Individuals With Anterior Cruciate Ligament Injury

Arthritis Care &Research, EarlyView.
Objective There is growing interest in evaluating new strategies to delay or prevent posttraumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury. Methods Participants with a history of
Kevin Kennedy, Lily Waddell, Adam Easterbrook, Jeffrey N. Katz, Cale Jacobs, Morgan Jones, Faith Selzer, Elena Losina, Liana Fraenkel, Nick Bansback   +9 more
wiley   +1 more source

Data for the figures in machine learning paper (titled "Machine learning-enabled characterization of individual ring resonators in integrated photonic lattices.")

Elizabeth Louis Pereira
openalex   +1 more source

Combining Three Peripheral Blood Biomarkers to Stratify Rheumatoid Arthritis–Associated Interstitial Lung Disease Risk

Arthritis Care &Research, EarlyView.
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase‐7 (MMP‐7), and serum anti–malondialdehyde‐acetaldehyde (anti‐MAA) antibody for rheumatoid arthritis (RA)–associated interstitial lung disease (ILD) risk stratification.
Kelsey Coziahr, Austin M. Wheeler, Brent A. Luedders, Michael Duryee, Halie Frideres, Katherine D. Wysham, Grant W. Cannon, Gary Kunkel, Dana P. Ascherman, Paul A. Monach, Gail S. Kerr, Andreas M. Reimold, Scott M. Matson, Joshua F. Baker, Geoffrey M. Thiele, Ted R. Mikuls, Bryant R. England   +16 more
wiley   +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

Machine learning-based prediction of severe <i>Mycoplasma pneumoniae</i> pneumonia in pediatric patients. [PDF]

Transl Pediatr
Hu J, Chen H, Chen Y, Li J, Li X, Guo J, Wang Y, Shi Y.   +7 more
europepmc   +1 more source

Machine Learning to Predict the Individual Risk of Treatment-Relevant Toxicity for Patients With Breast Cancer Undergoing Neoadjuvant Systemic Treatment [PDF]

Lie Cai, Thomas M. Deutsch, Chris Sidey‐Gibbons, Michelle Kobel, Fabian Riedel, Katharina Smetanay, Carlo Fremd, Laura L. Michel, Michael Golatta, Joerg Heil, Andreas Schneeweiß, André Pfob   +11 more
openalex   +1 more source

Artificial Intelligence‐based Online Symptom Assessment Tools for Systemic Lupus Erythematosus (SLE) diagnosis: Patient Perspectives

Arthritis Care &Research, Accepted Article.
Objective The objective of this article is to identify perceptions of SLE patients regarding artificial intelligence (AI)‐based online symptom assessment tools, and the potential of these tools to address diagnostic barriers. Methods Adults from our SLE research cohort were invited to participate in 60‐90 minute virtual focus groups concerning their ...
Olivia A. Stein, Jennifer LF. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Detecting Binge Eating Risk With Naturalistic Data and Machine Learning: A Comparative Observational Study. [PDF]

Int J Eat Disord
Presseller EK, Gable PA, Zhang F, Manasse SM, Juarascio AS.   +4 more
europepmc   +1 more source

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

Advanced 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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source