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A rare case of giant ovarian serous cystadenoma presenting as psuedo-meigs syndrome

Published on: 18th January, 2021

OCLC Number/Unique Identifier: 8897949620

Meigs’ syndrome is a rare condition characterized by the presence of a benign fibroma of the ovary, ascites and pleural effusion. Other benign cysts of the ovary (such as struma ovarii, mucinous cystadenoma, serous cystadenoma and teratomas), leiomyoma of the uterus, and secondary metastatic tumours to ovary if associated with hydro thorax and ascites are referred to as ‘Pseudo-Meigs” syndrome. It very uncommon and diagnosis is made difficult by symptoms that usually mimic disseminated malignancy or tuberculosis. The gold standard treatment is laparotomy and, by definition of the syndrome, after tumor removal, the symptoms resolves and the patients become asymptomatic. We presented an 18 years old girl with giant ovarian serous cystadenoma with associated pseudo-meigs syndrome, successfully managed in a low resources setting.
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Advances in deep learning-based cancer outcome prediction using multi-omics data

Published on: 1st May, 2023

Cancer prognosis reflects a complex biological process measured by multiple types of omics data. Deep learning frameworks have been proposed to integrate multi-omics data and predict patient outcomes in different cancer types, potentially revolutionizing cancer prognosis with superior performance. This minireview summarizes the advances in the strategies for multi-omics data integration and the performance of different deep learning models in prognosis prediction of diverse cancer types using multi-omics data published in the past 18 months. The challenges and limitations of deep learning models for predicting cancer outcomes based on multi-omics data are discussed.
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Investigating Anti-Bacterial and Anti-COVID-19 Virus Properties and Mode of Action of Pure Mg(OH)2 and Copper-infused Mg(OH)2 Nanoparticles and Coated Polypropylene Surfaces

Published on: 29th May, 2024

Robust anti-microbial surfaces that are non-toxic to users have widespread application in medical, industrial, and domestic arenas. Magnesium hydroxide has recently gained attention as an anti-microbial compound that is non-toxic, biocompatible, and environmentally friendly. Here we demonstrate melt compound and thermally embossed methods for coating polypropylene with Mg(OH)2 nanoplatelets and copper-infused Mg(OH)2 nanoplatelets. Polypropylene articles coated with Mg(OH)2 nanoplatelets and copper-infused Mg(OH)2 nanoplatelets exhibit a log 8 kill of E.coli within 24 hours. In addition, Mg(OH)2 NPs suspension, at 0.25% reduced SARSCoV-2 virus titers in the solution by 2.5 x 103 PFU/mL or 29.4%, while the Cu-infused Mg(OH)2 NPs suspension, at 0.25% reduced titers by 8.1 x 103 PFU/mL or 95.3%. Fluorescence microscopy revealed that reactive oxygen species (ROS) are produced in bacteria in response to Mg(OH)2 and Cu-infused Mg(OH)2 nanoplatelets which appears to be an important but not the sole mode of anti-microbial action of the nanoplatelets. Plastics with anti-microbial surfaces from where biocides are non-leachable are highly desirable. This work provides a general fabrication strategy for developing anti-microbial plastic surfaces.
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COVID-19 detection and classification: key AI challenges and recommendations for the way forward

Published on: 25th May, 2023

Coronavirus disease (COVID-19) is a viral pneumonia that is found in China and has spread globally. Early diagnosis is important for effective and timely treatment. Thus, many ongoing studies attempt to solve key COVID-19 problems such as workload classification, detection, and differentiation from other pneumonia and healthy lungs using different imaging modalities. Researchers have identified some limitations in the deployment of deep learning methods to detect COVID-19, but there are still unmet challenges to be addressed. The use of binary classifiers or building classifiers based on only a few classes is some of the limitations that most of the existing research on the COVID-19 classification problem suffers from. Additionally, most prior studies have focused on model or ensemble models that depend on a flat single-feature imaging modality without using any clinical information or benefiting from the hierarchical structure of pneumonia, which leads to clinical challenges, and evaluated their systems using a small public dataset. Additionally, reliance on diagnostic processes based on CT as the main imaging modality, ignoring chest X-rays. Radiologists, computer scientists, and physicians all need to come to an understanding of these interdisciplinary issues. This article first highlights the challenges of deep learning deployment for COVID-19 detection using a literature review and document analysis. Second, it provides six key recommendations that could assist future researchers in this field in improving the diagnostic process for COVID-19. However, there is a need for a collective effort from all of them to consider the provided recommendations to effectively solve these issues.
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ESG (Environmental, Social and Governance) in construction civil: concept that can contribute to the sector

Published on: 11th October, 2022

The search for a sustainable development path capable of satisfying the needs of the current generation without compromising the well-being of future generations is not a new challenge. In recent years, climate change and, more generally, the transition to a sustainable development model have become increasingly important. According to the European Central Bank [1], guidelines on sustainable finance, a company aims to develop value by adhering to relevant ideals, such as fair remuneration for employees, respect for ethical and social values and preservation of the environment.
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A baseline assessment of the knowledge, attitude, and practices of exclusive breastfeeding among women enrolled in a cluster randomized trial in Anambra State Nigeria

Published on: 8th June, 2023

Background: Exclusive breastfeeding has great benefits for both the mother and the child. Few studies have been carried out on interventions to improve Exclusive Breastfeeding (EBF) practice by childbearing mothers. No study has formulated and/or implemented a hospital-based maternal counseling guide intervention to improve EBF practice. This baseline study assessed the knowledge, attitude, and practice of EBF on mothers who were enrolled in antenatal clinics for a cluster randomized trial and the disparity in the knowledge of EBF based on lactation, age, sex, and source of income.Methods: We formulated a hospital-based counseling guide on exclusive breastfeeding, which is under implementation by prenatal and nursing mothers, to promote EBF practice in the study area. A cross-sectional study was conducted in two hospitals randomly selected from twelve hospitals in Anambra State. The study was among pregnant women who were in their second trimester. The data collection took place from March to April 2022. The data were analyzed using descriptive statistics and Chi-Square. The test of significance was set at p < 0.05.Results: The control and the intervention arms had an equal number of enrolees (144) each and more than half of the participants were between the ages of 23 – 32 years. The majority of the participants showed adequate knowledge of exclusive breastfeeding as over 90% knew that EBF is important and capable of improving their baby's immunity. The participants demonstrated a positive attitude to exclusive breastfeeding and they had a significantly high level of practice of daily consumption of galactagogues. The study suggested that the majority did not practice breast milk extraction mainly because the process of extraction is painful and some do not know how to carry out the extraction.Conclusion: The mothers have the requisite knowledge of the benefits of exclusive breastfeeding to their infants and themselves. However, they do not practice EBF. Interventions to improve EBF practice should focus on educating mothers on proper breast milk extraction and storage techniques.
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Time within therapeutic range: A comparison of three tacrolimus formulations in renal transplant recipients

Published on: 1st February, 2022

OCLC Number/Unique Identifier: 9415692649

Background: Currently there are three available formulations of tacrolimus in the United States; these include immediate-release capsules (TAC-IR), extended-release capsules (TAC-XL),and extended-release tablets (TAC-XR). Previous studies have demonstrated non-inferiority between the three formulations in terms of efficacy. The purpose of this study was to compare three formulations of tacrolimus (TAC) and assess differences in time within the therapeutic range (TTR) and variability in levels. Results: Renal transplant recipients from January 2013 to October 2017 were retrospectively identified for analysis. Deviation from standard TAC protocol or formulation changes excluded patients. The primary outcome compared percent TTR (TTR %) among 3 TAC formulations over the first 90 days post-transplant. TTR was calculated using the Rosendaal method. Secondary outcomes included differences in TAC levels, TAC dose, eGFR, rejection, patient and graft survival between the TAC formulations. TAC-XR demonstrated a significantly higher TTR % compared to TAC-IR and TAC-XL (62.8% vs. 53.3% vs. 60.9%, p = 0.048). In post-hoc analysis, TAC-XR had a higher TTR % compared to TAC-IR (p = 0.065), which approached statistical significance. Average TAC levels, weight-normalized TAC doses, median dose-normalized TAC levels, rejection rates, eGFR, and graft or patient survival were similar among groups. Conclusion: In the early transplant period, TTR was significantly different among the groups. TAC-XR demonstrated numerically superior time within the therapeutic range. Patient-specific factors such as race, obesity, genetic polymorphisms may impact this variability and clinical outcomes. Further analysis is necessary to understand the effect of each patient-specific factor on TAC exposure.
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The Need of Wider and Deeper Skin Biopsy in Verrucous Carcinoma of the Sole

Published on: 31st January, 2025

Verrucous carcinoma is a rare, slow-growing squamous cell carcinoma that can occur in acral regions, including the plantar surface, being named carcinoma cuniculatum. The tumor presents as a well-demarcated, exudative lesion, resembling benign conditions like warts or infections. In this case, a verrucous lesion on the left plantar surface initially appeared to be non-malignant, with multiple incisional biopsies showing only inflammation. A final excisional biopsy of a large part of it confirmed the initial suspicion of malignancy, prompting complete excision and appropriate management. This case underscores the importance of performing wide and deep biopsies for early diagnosis and timely treatment of a suspected verrucous carcinoma.
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COVID-19 pandemic to endemic

Published on: 7th November, 2022

The COVID-19 pandemic appeared in late 2019 and became a major health concern with rapid transmission and very high mortality rates across the globe. Although precautionary, preventive, protective and therapeutic measures have been adopted against COVID-19, still the disease has drastically affected people. In order to overcome the challenges of the pandemic, the understanding of the route of transmission, its fusion with receptors and invasion into the human body and hacking the immune system, the viral genome was sequenced. The viral genome keeps on mutating and altering its original form into its subtypes. Moreover, age and comorbid conditions had their impact on developing the disease differing from individual to individual due to interaction varying between the host genome and virus. Considering the pathogenesis of the virus, neutralizing antibodies reduced the viral impact and severity. This review is focused on highlighting the COVID-19 genome, host genetic factors, the pathogenesis of the disease and available therapeutic measures to overcome the pandemic.
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Clinical evaluation of the eye-to-visual-pathway integrity of glaucomatous neurodegeneration using 1.5T MR imaging: The integrity of glaucomatous neurodegeneration

Published on: 9th March, 2022

Aim: Accumulating data imply that glaucoma may represent a neurodegenerative disorder affecting the entire visual system. We evaluated retrobulbar glaucomatous damage with favorable techniques for 1.5T diffusion-tensor magnetic resonance imaging and we compared those techniques with clinical data in a large case series. Material and methods: This Cross-sectional study included 130 eyes of 65 patients with primary open-angle glaucoma. Patients with no known ocular or systemic concomitant disorders, neurological diseases, previous glaucoma surgeries, or antioxidant usage were selected. A decrease in thickness and deterioration in the optic nerve diffusion of severely glaucomatous eyes of patients with asymmetrical involvement was observed in optic nerve tractography. Optical coherence tomography and visual field results of the subjects were recorded. Glaucoma analysis with optical coherence tomography and standard automated perimetry results of the subjects were recorded. Diffusion-tensor magnetic resonance imaging analysis of optic nerves and radiations were performed, computing fractional anisotropy, apparent diffusion coefficient, axial diffusivity, and radial diffusivity. Correlation between the diffusion-tensor magnetic resonance imaging and clinical eye parameters of glaucomatous neurodegeneration were statistically evaluated. Results: The correlations between diffusion parameters and age were highly significant. Statistically significant correlations were found between ganglion cell complex and apparent diffusion coefficient, axial and radial diffusivities of optic nerves. Conclusion: Eye-brain connection in glaucoma can be evaluated with routine clinical instruments. Our study also revealed a limited correlation of retrobulbar glaucomatous neurodegeneration with ophthalmic damage. A better understanding of retrobulbar damage will enable us to develop more efficient strategies and a more accurate understanding of glaucoma.
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