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http://dx.doi.org/10.1136/bmj.f166 | DOI Listing |
Br Poult Sci
January 2025
LEAF- Linking Landscape, Environment, Agriculture and Food Research Center, Associate Laboratory TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisboa, Portugal.
1. This review was conducted to examine the nutritional composition of microalgae and their effects as a feed ingredient in poultry diets, delving into their influence on the production and quality of meat and eggs. Data collection focused on peer-reviewed scientific articles, with no limitation on the temporal horizon.
View Article and Find Full Text PDFDermatol Ther (Heidelb)
January 2025
1st Department of Dermatology and Venereology, Medical School of Athens, Andreas Sygros Hospital, National and Kapodistrian University of Athens, Athens, Greece.
Introduction: Results from randomized controlled trials of upadacitinib, a Janus kinase (JAK) inhibitor, have led to its approval for the treatment of moderate-to-severe atopic dermatitis (AD) in patients aged ≥ 12 years. The aim of this study was to report the effectiveness and safety of upadacitinib in real-world settings over a period of 96 weeks.
Methods: This retrospective study included all patients treated with upadacitinib at our centre between April 2022 and September 2024.
Anal Bioanal Chem
January 2025
ICF International Contractor in support of the Office of Dietary Supplements, National Institutes of Health, Bethesda, MD, USA.
Rigorous research on the health effects of dietary supplements and related nutritional interventions requires thorough chemical characterization of complex matrices for their composition of macro- and micronutrients, botanical phytochemicals, and potential contaminants. Reference materials (RMs) with metrologically traceable values for these specific properties are ideal analytical tools to ensure requisite chemical measurements are reliable. However, identifying and comparing appropriate RMs for studying dietary ingredients and their metabolites is challenging, creating a barrier to reproducible regulatory testing and research.
View Article and Find Full Text PDFRadiol Artif Intell
January 2025
Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104.
Purpose To evaluate the change in DBT-AI (digital breast tomosynthesis-artificial intelligence) case scores over sequential screens. Materials and Methods This retrospective review included 21,108 female patients (mean age, 58.1 ± [SD] 11.
View Article and Find Full Text PDFRadiol Artif Intell
January 2025
From the Department of Radiology (E.J.H., S.K., H.K., D. K., S.H.Y.) and Medical Research Collaborating Center (H.H.), Seoul National University Hospital, 101 Daehak- ro, Jongno-gu, Seoul 03080, Korea; Department of Radiology, Seoul National University College of Medicine (E.J.H., H.K., S.H.Y.), Seoul, Korea; Department of Radiology, Hanyang University Medical Center, Hanyang University College of Medicine (S-J.Y., Seoul, Korea).
Quantifying pleural effusion change on chest CT is important for evaluating disease severity and treatment response. The purpose of this study was to assess the accuracy of artificial intelligence (AI)-based volume quantification of pleural effusion change on CT images, using the volume of drained fluid as the reference standard. Seventy-nine participants (mean age, 65 ± [SD] 13 years; 47 male) undergoing thoracentesis were prospectively enrolled from October 2021 to September 2023.
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