Publications by authors named "A A Adekoya"
Background: Celiac disease (CD) affects the small intestine and can hinder nutrient absorption. It is found worldwide and common in certain groups of people including individuals with Type 1 Diabetes Mellitus (T1DM). However, the prevalence of CD in the West African region is not documented.
View Article and Find Full Text PDFDesign and development of locust bean gum-endowed/Phyllanthus reticulatus anthocyanin- functionalized biogenic gold nanosystem for enhanced antioxidative and anticancer chemotherapy.
Int J Biol Macromol
August 2024
Herein, the design and fabrication of an anticancer nanoplatform (LBG/PRA-NG) based on locust bean gum-stabilized nanogold and functionalized with Phyllanthus reticulatus anthocyanins was described. LBG/PRA-NG was prepared in an eco-friendly, one-pot approach at room temperature, mediated by the anthocyanins and gum as bio-reductant and stabilizer, respectively. The nanostructure was elaborately characterized by FESEM, TEM, UV-visible, DLS, Zeta potential, FTIR, XRD, TGA/DTG, and XPS analysis.
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- Chronic pulmonary aspergillosis (CPA) is a frequent complication following treatment for pulmonary tuberculosis, particularly in tuberculosis-endemic regions like Nigeria, where monitoring for CPA is lacking.
- A study conducted in Lagos from June 2021 to May 2022 assessed 141 patients previously treated for tuberculosis, revealing a significant increase in CPA cases over time, with an overall prevalence of 49.7% and an incidence rate of 6.1%.
- The findings highlight the importance of recognizing CPA as a common outcome of tuberculosis treatment, urging healthcare providers to incorporate CPA evaluations into tuberculosis patient care.
Background: Anemia is a common complication of chronic kidney disease (CKD) and has been shown to worsen as CKD advances. CKD negatively impacts patients' health-related quality of life. It is therefore necessary to determine the impact of anemia on the quality of life in patients with CKD.
View Article and Find Full Text PDFManual detection of eye diseases using retina Optical Coherence Tomography (OCT) images by Ophthalmologists is time consuming, prone to errors and tedious. Previous researchers have developed a computer aided system using deep learning-based convolutional neural networks (CNNs) to aid in faster detection of the retina diseases. However, these methods find it difficult to achieve better classification performance due to noise in the OCT image.
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