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Diagnosis, Severity, and Prognosis from Potential Biomarkers of COVID-19 in Urine: A Review of Clinical and Omics Results.

Metabolites

December 2024

Department of Biochemistry and Molecular Biology and Soil Science and Agricultural Chemistry, University of Alicante, 03690 Alicante, Spain.

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has spurred an extraordinary scientific effort to better understand the disease's pathophysiology and develop diagnostic and prognostic tools to guide more precise and effective clinical management. Among the biological samples analyzed for biomarker identification, urine stands out due to its low risk of infection, non-invasive collection, and suitability for frequent, large-volume sampling. Integrating data from omics studies with standard biochemical analyses offers a deeper and more comprehensive understanding of COVID-19.

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: Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women of fertile age. Some studies suggest that a ketogenic diet (KD) may have a role in treating PCOS. We aimed to demonstrate the long-term effectiveness of a KD in PCOS.

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Background: Immunotherapy, including the use of immune checkpoint inhibitors such as nivolumab, is increasingly common in cancer treatment and can lead to various immune-related adverse effects, including rare cases of diabetic ketoacidosis. This case report highlights an unique instance of nivolumab-induced diabetic ketoacidosis in a patient without prior history of diabetes, emphasizing the importance of careful monitoring even in those without traditional risk factors.

Case Presentation: We report a case of a 70-year-old Caucasian male with metastatic esophageal adenocarcinoma who developed diabetic ketoacidosis 3 weeks after stopping nivolumab therapy.

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Prediction of ketosis using radial basis function neural network in dairy cattle farming.

Prev Vet Med

December 2024

Department of Genetics, Animal Breeding and Ethology, Faculty of Animal Science, University of Agriculture in Krakow, al. Mickiewicza 24/28, Krakow 30-059, Poland. Electronic address:

The purpose of the paper was to apply an Artificial Neural Networks with Radial Basis Function to develop an application model for diagnosing a subclinical ketosis type I and II in dairy cattle. While building the neural network model, applied methodology was compatible to the procedures used in Data Mining processes. The data set was created based on the composition of milk samples of 1520 Polish Holstein-Friesian cows.

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Young-onset diabetes (YOD) is characterised by unique diagnostic and management challenges more pronounced in resource-limited settings like Sri Lanka. We aimed to ascertain the prevalence, patterns and characteristics of YOD in Sri Lanka and describe the state of care. Retrospective review of baseline data of all patients enrolled in the prospective multicentre Database for Young-Onset Diabetes, Sri Lanka (DYOD-SL), was performed, from April 2021 to April 2023.

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