In the present day [...].
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| http://dx.doi.org/10.3390/ijms26010267 | DOI Listing |
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The first reported case of candidemia caused by the novel Candida tropicalis diploid sequence type 1515.
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Department of Emergency Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Introduction: Since the dawn of the new millennium, Candida species have been increasingly implicated as a cause of both healthcare-associated as well as opportunistic yeast infections, due to the widespread use of indwelling medical devices, total parenteral nutrition, systemic corticosteroids, cytotoxic chemotherapy, and broad-spectrum antibiotics. Candida tropicalis is a pathogenic Candida species associated with considerable morbidity, mortality, and drug resistance issues on a global scale.
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Insights of community pharmacists on antibiotic misuse during the COVID-19 pandemic in the northern region of Cyprus.
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Faculty of Medicine, Eastern Mediterranean University, Famagusta, N. Cyprus via Mersin 10, Turkey.
Introduction: The global healthcare system faced unparalleled challenges during the coronavirus disease 2019 (COVID-19) pandemic, potentially reshaping antibiotic usage trends. This study aimed to evaluate the knowledge, perceptions, and observations of community pharmacists concerning antibiotic utilization during and after the pandemic; and offer crucial insights into its impact on antibiotic usage patterns and infection dynamics.
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Semaglutide and laparoscopic sleeve gastrectomy in an adolescent with congenital adrenal hyperplasia due to 21-hydroxylase: a case report.
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Department of Surgery, Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles and Keck School of Medicine of USC, Los Angeles, CA, USA.
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View Article and Find Full Text PDFSafety outcome trials in four mainline medical journals 30 years apart: a narrative review and the need for the transparency of informed consents.
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Internal Medicine (Rheumatology), Academic Hospital, Istanbul, Turkey.
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A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM.
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College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography image processing, interpretation, and grading. However, since the currently existing methods suffer from such issues as overfitting, lack of adaptability, and dependence on massive annotated datasets, the present work introduces a hybrid approach to enhance breast cancer classification accuracy.
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