The production of enantiomerically pure compounds remains a vital and valuable objective in modern organic chemistry due to their broad applications in fields such as biosensing, optics, electronics, photonics, catalysis, nanotechnology, and drug or DNA delivery. Optically pure α-hydroxy ketones, in particular, are key structural components in many drugs and natural products with significant biological activity. Among these, benzoin type α-hydroxy ketones, which possess two adjacent functional groups, a carbonyl and a hydroxy group, are especially important.
View Article and Find Full Text PDFInt J Clin Pediatr Dent
February 2024
Background: A major objective in the management of deep carious lesions involving proximal surfaces of primary molars is to control marginal leakage. This could occur due to dimensional changes or failure in the adaptation of pulp capping materials to the prepared cavity. Evaluation of microleakage is important for assessing the success of newer pulp capping materials.
View Article and Find Full Text PDFAim: Socially handicapped children face a number of challenges including limited access to basic health including oral healthcare. The aim of this study is to determine the oral health status and treatment needs of socially handicapped children and to assess the effectiveness of the Comprehensive Dental Health Program (CDHP) on their oral health-related quality of life (OHRQoL).
Materials And Methods: A total of 97 children in the age-group of 7-14 years were enrolled in the study.
Background: Signal strength for any drug-event combination can be determined using disproportionality analysis. Vemurafenib is a BRAF inhibitor approved by the US Food and Drug Administration (FDA) in 2011 for the treatment of metastatic melanoma. This study aims to identify the signal strength of Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) associated with vemurafenib using disproportionality analysis in FDA database of Adverse Event Reporting System (FAERS).
View Article and Find Full Text PDFBackground Signal generation through data mining algorithms is an innovative and emerging field in pharmacovigilance. Early detection of safety signals is important for public health safety. However, the possibility of generating pseudo signals should not be overlooked.
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