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http://dx.doi.org/10.3389/finsc.2022.1113610 | DOI Listing |
Interdiscip Sci
January 2025
Institute for Complexity Science, Henan University of Technology, Zhengzhou, 450001, China.
Artificial intelligence technology has demonstrated remarkable diagnostic efficacy in modern biomedical image analysis. However, the practical application of artificial intelligence is significantly limited by the presence of similar pathologies among different diseases and the diversity of pathologies within the same disease. To address this issue, this paper proposes a reinforced collaborative-competitive representation classification (RCCRC) method.
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January 2025
Health Sciences Institute, Universidade Federal de Jatai, Jatai, GO, Brazil.
Foot Ankle Int
January 2025
Howard Head Sports Medicine at Vail Health, Vail, CO, USA.
Background: Activity level is a benchmark to document patient recovery; however, there is a lack of instrumentation to measure activity level specific to the foot and ankle. The purpose of this study was to develop a foot and ankle activity level scale (FAALS) instrument that will serve as an effective clinical tool for practitioners by assigning an activity level to patients.
Methods: This was a 4-phase study with 3 rounds of data collection (n = 1432).
Perit Dial Int
January 2025
Division of Nephrology, Department of Medicine, University of Texas Health San Antonio, San Antonio, TX, USA.
There is growing emphasis on increasing utilization of peritoneal dialysis (PD) in patients with end stage kidney disease (ESKD); however, use in patients with severe obesity has still been fraught for various reasons. We aim to assess the viability of PD in patients with severe obesity (BMI > 40 Kg/m). We conducted a retrospective chart review of patients admitted at the home dialysis center of an academic center between 2014 and 2020 (n = 99).
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January 2025
Laboratory of Microbial Ecology and Genomics, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.
Introduction: Farms are significant hotspots for the dissemination of antibiotic-resistant bacteria and genes (ARGs) into the environment and directly to humans. The prevalence of ARGs on farms underscores the need for effective strategies to reduce their spread. This study aimed to evaluate the impact of a guideline on "best practices for farming" aimed at reducing the dissemination of antibiotic resistance.
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