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Background/objectives: Despite the abundant body of evidence linking high-intensity interval training (HIIT) to cardiometabolic markers, little is known about how HIIT affects liver enzymes, particularly in obese adolescents. This study aimed to investigate the effects of HIIT on metabolic dysfunction-associated steatotic liver disease (MASLD)-related biomarkers in overweight/obese adolescent girls.

Methods: Thirty-three overweight/obese adolescent girls (age, 17.

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Purpose: Serum uric acid (SUA) is primarily produced through the hydrolysis of purines in the liver, with its excretion largely handled by the kidneys. Urate transporter 1 (URAT1) inhibitors are known to enhance uric acid elimination via the kidneys, but they also increase the risk of kidney stone formation. Currently, xanthine oxidase (XO) inhibitors are the predominant uric-lowering medications on the market.

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This study was conducted to evaluate the effects of E.coli Nissle 1917 (EcN) on immune responses, blood parameters, oxidative stress, egg quality, and performance of laying Japanese quail. A total of one-hundred day-old quail chicks were assigned to 1 of 4 treatments based on probiotic concentration: 1 (0 CFU/mL; control), 2 (10 CFU/mL), 3 (10 CFU/mL), and 4 (10 CFU/mL).

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Aims: Contrast-induced nephropathy (CIN) is a condition characterized by rapidly decreasing renal funciton following by the application of contrast material. Precutaneous coronary intervention (PCI) is a life-saving treatment method that should be applied under emergent conditions. Unfortunately, the incidence of CIN after PCI is common.

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Machine learning applications in healthcare clinical practice and research.

World J Clin Cases

January 2025

Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.

Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .

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