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Anatomical, functional, and blood-born predictors of severity of brachycephalic obstructive airway syndrome severity in French Bulldogs.
Front Vet Sci
January 2025
Clinic of Reproductive Medicine, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland.
Brachycephalic breeds suffer from respiratory distress known as brachycephalic obstructive airway syndrome (BOAS) and the multiple comorbidities associated with it. Targeted breeding toward a more BOAS-free phenotype requires accurate and least invasive detection of BOAS severity grades that are accessible and accepted by the breeders and kennel clubs. This study aimed to compare the-outcome of morphometric anatomical examination with functional tests such as exercise tests and plethysmography for the detection of BOAS severity in a group of 84 French Bulldogs.
View Article and Find Full Text PDFEditorial: Mental health, epidemiology and machine learning.
Front Psychiatry
January 2025
Swansea University Medical School, Swansea, United Kingdom.
Editorial: 21st meeting of the international council for near infrared spectroscopy - NIR 2023.
Spectrochim Acta A Mol Biomol Spectrosc
January 2025
Institute of Analytical Chemistry and Radiochemistry, University of Innsbruck, Austria. Electronic address:
NIR 2023, or the 21st meeting of The International Council for Near Infrared Spectroscopy (ICNIRS), held in Innsbruck, Austria, in August 2023, was a significant event for the NIR spectroscopy community, bringing together 386 participants from 37 countries. This editorial introduces the Special Issue of Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, featuring nearly 30 articles that represent the topics from the conference. Like the NIR 2023 event itself, this collection highlights advancements in NIR spectroscopy, including fundamental research, instrumentation, and applications.
View Article and Find Full Text PDFArtificial intelligence and machine learning capabilities in the detection of acute scaphoid fracture: a critical review.
J Hand Surg Eur Vol
January 2025
Clinical Scientific Computing, Guy's and St Thomas' NHS Foundation Trust, London, UK.
This paper discusses the current literature surrounding the potential use of artificial intelligence and machine learning models in the diagnosis of acute obvious and occult scaphoid fractures. Current studies have notable methodological flaws and are at high risk of bias, precluding meaningful comparisons with clinician performance (the current reference standard). Specific areas should be addressed in future studies to help advance the meaningful and clinical use of artificial intelligence for radiograph interpretation.
View Article and Find Full Text PDFLearning and fine-tuning a generic value-selection heuristic inside a constraint programming solver.
Constraints
November 2024
Polytechnique Montréal, Montreal, Canada.
Constraint programming is known for being an efficient approach to solving combinatorial problems. Important design choices in a solver are the , designed to lead the search to the best solutions in a minimum amount of time. However, developing these heuristics is a time-consuming process that requires problem-specific expertise.
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