Results 181 to 190 of about 7,192,383 (294)

Craniofacial growth, modeling, and estimation of milestones

open access: yesThe Anatomical Record, EarlyView.
Abstract Understanding craniofacial growth is foundational for research into intra‐ and interspecies variation, evolution, and clinical care. The Craniofacial Growth Consortium Study (CGCS), combines cephalographs from historical growth studies to create a dense longitudinal record of growth from 6 to 22 years of age.
Richard J. Sherwood   +6 more
wiley   +1 more source

Integrating One Health to Mitigate the Emergence and Spread of Antimicrobial Resistance in Livestock and Aquaculture

open access: yesAnimal Research and One Health, EarlyView.
Antimicrobial resistance (AMR) is an escalating global threat driven by antimicrobial use in aquaculture and livestock. Resistant pathogens and genes can spread across humans, animals, and the environment through interconnected ecosystems. Using a One Health approach, this review emphasizes antimicrobial stewardship, regulatory strengthening, enhanced ...
Mir Mohammad Ali   +10 more
wiley   +1 more source

Commercial Payors More Likely to Reimburse Unlisted Hip Arthroscopy Procedures Compared With Managed Care but With Similar Overall Dollar Amount

open access: yesArthroscopy, Sports Medicine, and Rehabilitation, EarlyView.
Purpose To compare the reimbursement practices of public managed care (MC) insurance versus private commercial insurance (COM) for hip arthroscopy using the current procedural terminology (CPT) code 29999. Methods The CPT codes and corresponding reimbursements of hip arthroscopies that employed code 29999 performed from January 2020 to December 2024 in
Eric V. Neufeld   +4 more
wiley   +1 more source

ANK1 and EPB41 Variants and The Risk of Glucocorticoid‐Induced Osteonecrosis

open access: yesArthritis &Rheumatology, EarlyView.
Objective Steroid‐induced osteonecrosis of the femoral head (SONFH) is a refractory skeletal disorder influenced by genetic and environmental factors. However, conclusive pathogenic genetic evidence remains elusive due to the limited exploration of rare damaging variants. In this study, we aimed to identify rare variants associated with SONFH.
Shengbao Chen   +21 more
wiley   +1 more source

Identifying Systemic Lupus Erythematosus From Serum Proteomic Profiles Using Machine Learning and Genetic Risk Stratification

open access: yesArthritis &Rheumatology, EarlyView.
Objective Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Patients with lupus and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu   +2 more
wiley   +1 more source

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