Publications by authors named "M L Alomar"

Background: Obsessive-compulsive disorder is recognized by the World Health Organization as one of the top 10 most disabling disorders globally. Characterized by recurrent and persistent thoughts (obsessions) and/or repetitive behaviors (compulsions), it significantly disrupts an individual's daily life, impacting routine, education, career development, and social relationships. The disorder's prevalence varies worldwide, with studies in Saudi Arabia showing a higher rate of obsessive-compulsive symptoms among medical students.

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Aims: This study focuses on the synthesis and characterization of novel sitagliptin derivatives, aiming to develop potent, orally active anti-diabetic agents with minimal side effects for the management of type 2 diabetes mellitus. Copper (II) (SCu1-SCu9) and zinc (II) (SZn1-SZn9) metal complexes of sitagliptin-based derivatives were synthesized via a template reaction.

Material & Method: The synthesized complexes were comprehensively characterized using elemental analysis, FTIR, UV-Vis, 1 h NMR, and 13C NMR spectroscopy.

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Background And Objective: Vancomycin is commonly prescribed in treatment of methicillin-resistant Staphylococcus aureus infections. While, vancomycins' pharmacokinetic vary among older patients, there is a paucity of data regarding specific characteristics influencing pharmacokinetics in Saudi adult patients. This study aims to establish a population-pharmacokinetic (Pop-PK) model for vancomycin in patients admitted to medical wards, with the focus on identification of patient characteristics influencing vancomycin trough concentrations.

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Quercetin, a natural flavonol, is reported to have significant antioxidant and anti-inflammatory activity, which further aids in its good wound-healing properties via acting on acute as well as chronic inflammatory phases. The current study is focused on understanding the potential of the green-synthesized iron and zinc oxide bimetallic (i.e.

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Background: Artificial intelligence (AI) is a branch of computer science that allows machines to analyze large datasets, learn from patterns, and perform tasks that would otherwise require human intelligence and supervision. It is an emerging tool in pediatric orthopedic surgery, with various promising applications. An evaluation of the current awareness and perceptions among pediatric orthopedic surgeons is necessary to facilitate AI utilization and highlight possible areas of concern.

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