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Alpelisib is a phosphatidylinositol 3-kinase inhibitor approved by the US Food and Drug Administration for the treatment of hormone receptor-positive metastatic breast cancer with (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit α) mutation. In recent years a number of adverse effects have been observed to be associated with this therapy, the most notable of which is hyperglycemia. A literature search was conducted to include case studies, case series, systematic reviews, and meta-analyses within the last 10 years that evaluated patients with mutated hormone receptor-positive, human epidermal growth factor receptor 2 negative metastatic breast cancer.
View Article and Find Full Text PDFPurpose: To assess the association between periodontal health and pregnancy or delivery complications in type 1 diabetic (TIDM) and non-diabetic pregnant women.
Materials And Methods: 15 TIDM and 15 non-diabetic primiparous women were enrolled in the prospective case-control study. We compared periodontal status, levels of glycosylated hemoglobin (HbA1c), gestational week of birth, birth weight of a newborn and pregnancy or delivery complications between the groups.
Cost-Effective Quality of Life Improvement While Reducing Health Care Professional Burnout With an AI-Driven Intervention for Personalized Medicine.
J Diabetes Sci Technol
January 2025
Spotlight Consultations Ltd, Portsmouth, UK.
Background And Aims: Burnout affects >50% of physicians and nurses. Spotlight-AQ is a personalized digital health platform designed to improve routine diabetes visits. We assessed cost-effectiveness, visit length, and association with health care professional (HCP) burnout.
View Article and Find Full Text PDFAcute kidney injury and ANCA positivity in a patient treated with glecaprevir/pibrentasvir: a case report.
Front Med (Lausanne)
January 2025
Department of Pathology, Montefiore Medical Center, Bronx, NY, United States.
Background: Glecaprevir/pibrentasvir is an effective antiviral therapy for hepatitis C virus infection and is generally regarded safe in patients with renal impairment. However, renal complications are a notable, albeit rare, concern.
Case Presentation: We report a case of acute kidney injury in a man in his 50s with chronic hepatitis C virus, chronic obstructive pulmonary disease, morbid obesity, a history of heroin dependence, and untreated type 2 diabetes mellitus.
Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification.
Heliyon
January 2025
Information Technology Department, Technical College of Informatics-Akre, Akre University for Applied Sciences, Kurdistan Regain, Iraq.
Deep Learning (DL) has significantly contributed to the field of medical imaging in recent years, leading to advancements in disease diagnosis and treatment. In the case of Diabetic Retinopathy (DR), DL models have shown high efficacy in tasks such as classification, segmentation, detection, and prediction. However, DL model's opacity and complexity lead to errors in decision-making, particularly in complex cases, making it necessary to estimate the model's uncertainty in predictions.
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