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http://dx.doi.org/10.1007/BF03350371 | DOI Listing |
Gigascience
January 2025
Department of Animal Science, Iowa State University, Ames, IA, 50011, US.
The scientific community has long benefited from the opportunities provided by data reuse. Recognizing the need to identify the challenges and bottlenecks to reuse in the agricultural research community and propose solutions for them, the data reuse working group was started within the AgBioData consortium framework. Here, we identify the limitations of data standards, metadata deficiencies, data interoperability, data ownership, data availability, user skill level, resource availability, and equity issues, with a specific focus on agricultural genomics research.
View Article and Find Full Text PDFWorld J Urol
January 2025
Research & Analysis Services, University Hospital Basel, Steinengraben 36, Basel, 4051, Switzerland.
Background: Multidisciplinary teams (MDTs) are essential for cancer care but are resource-intensive. Decision-making processes within MDTs, while critical, contribute to increased healthcare costs due to the need for specialist time and coordination. The recent emergence of large language models (LLMs) offers the potential to improve the efficiency and accuracy of clinical decision-making processes, potentially reducing costs associated with traditional MDT models.
View Article and Find Full Text PDFPostgrad Med
January 2025
Department of Gastrointestinal Surgery, Second Affiliated Hospital of Kunming Medical University, kunming, China.
Objectives: The aim of this study was to systematically assess the quality of different guidelines for the management of patients with hyperthyroidism and to explore and analyze the recommendations and key evidence in different guidelines.
Methods: A systematic search of databases and websites was conducted to identify treatment guidelines for hyperthyroidism. The quality of the included guidelines was assessed using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) tool.
Background: Though European Respiratory Society and American Thoracic Society (ERS/ATS) guidelines for pulmonary function test (PFT) interpretation recommend the use of the forced vital capacity (FVC) lower limit of normal (LLN) to exclude restriction, recent data suggest that the negative predictive value (NPV) of the FVC LLN is lower than has been accepted, particularly among non-Hispanic Black patients. Using a machine learning (ML) model-rather than the FVC LLN-to exclude restriction may improve the accuracy and equity of PFT interpretation. We sought to develop and externally validate a ML model to predict restriction from spirometry and to assess the potential impact of this model on PFT interpretation.
View Article and Find Full Text PDFToxicol Rep
June 2025
Department of Environmental Management and Toxicology, Dennis Osadabey University, Asaba, Delta State, Nigeria.
This study was conducted to evaluate the health risks related to eating crabs and periwinkles from Southern Nigerian coastal areas that are contaminated by crude oil. Periwinkles and crabs from contaminated locations were tested for Polycyclic aromatic hydrocarbon (PAH) and heavy metal (HM) levels using US-EPA standard, and the health risks to humans of eating these seafood were assessed. 20 samples of periwinkles and crabs were collected from crude oil-polluted coastal areas.
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