Publications by authors named "Umar -"

Introduction Rising prevalence rates of type 2 diabetes mellitus (T2DM), particularly in younger populations, have made early-onset T2DM (diagnosed before age 40) an increasingly significant health concern. Early-onset T2DM is often associated with more rapid progression and increased complications, including cardiovascular disease (CVD). However, its specific impact on cardiovascular outcomes remains inadequately understood, particularly compared to T2DM in older populations.

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Introduction: Epicardial adipose tissue (EAT) is often associated with atrial fibrosis, and both can provide the substrate for atrial fibrillation (AF). However, most AF patients have no evidence of left atrial (LA) fibrosis based on bipolar voltage mapping. We determined whether EAT differs in AF patients without LA fibrosis compared to matched controls without AF.

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Purpose: The weight-adjusted waist index (WWI) is a novel anthropometric measure. WWI is linked to reduced muscle mass and strength; however, its efficacy for assessing sarcopenia and predicting adverse outcomes has yet to be validated. This study compared and examined the relationship between sarcopenia and WWI across different diagnostic criteria and aimed to evaluate its potential as a predictor of sarcopenia and all-cause mortality.

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Allergies represent a significant and growing public health concern, affecting millions worldwide and burdening healthcare systems substantially. Accurate diagnosis and understanding of allergy is crucial for effective management and treatment. This review aims to explore the historical evolution, current advances, and prospects of histopathological and cytological techniques in allergy diagnosis, highlighting their crucial role in modern medicine.

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Introduction: Increased breast density (BD) is significantly correlated to higher rates of breast cancer (BC), yet awareness among women remains low. This study assesses women's understanding of BD, its implications for cancer risk, and their engagement in screening practices.

Methods: A cross-sectional survey of 212 women aged 40 to 74 was conducted using an online questionnaire developed within Google Forms, including open and closed-ended questions.

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Background: There is a dearth of information regarding mpox risk perception and vaccine acceptance among people living with human immunodeficiency virus (HIV), especially in countries with a dual burden of HIV and mpox, such as Nigeria.

Methods: We used an explanatory mixed methods design and structured questionnaires administered to a clinic-based sample of people living with HIV (n=430), followed by in-depth interviews with a purposive subsample (n=20). Data were analysed using binary logistic regression and the framework approach.

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Introduction: Pericardial effusion (PE) is an abnormal accumulation of fluid in the pericardial space, which, if severe, is associated with high mortality. The causes are diverse, including infective and non-infective. Few studies have looked at the spectrum of severity and causes in Northern Nigeria.

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Article Title: Machine Learning Models for Pancreatic Cancer Risk Prediction Using Electronic Health Record Data-A Systematic Review and Assessment.

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Background: Pregnancy-Related Acute Kidney Injury (PRAKI) is an important contributor to maternal-fetal morbidity and mortality. The burden of PRAKI in sub-Saharan Africa is not well documented. We conducted a systematic literature review and meta-analysis to estimate the prevalence of PRAKI in sub-Saharan Africa.

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Artificial Intelligence (AI) and Machine Learning (ML) are transforming drug discovery by overcoming traditional challenges like high costs, time-consuming, and frequent failures. AI-driven approaches streamline key phases, including target identification, lead optimization, de novo drug design, and drug repurposing. Frameworks such as deep neural networks (DNNs), convolutional neural networks (CNNs), and deep reinforcement learning (DRL) models have shown promise in identifying drug targets, optimizing delivery systems, and accelerating drug repurposing.

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Background: Safflower thrives in dry environments but faces difficulties with flowering in wet and rainy summers. Flavonoids play a role in flower development and can potentially alleviate these challenges. Furthermore, the FLOWERING LOCUS T (FT) family of phosphatidylethanolamine-binding protein (PEBP) genes play a crucial role in the photoperiodic flowering pathway.

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Background: Multiple management guidelines for intraductal papillary mucinous neoplasms (IPMNs) have been published to improve risk stratification and resource utilization. This study aims to evaluate trends in endoscopic ultrasound (EUS) use and agreement between cross-sectional imaging and EUS for specific pancreas cystic lesion (PCL) features.

Methods: This retrospective cohort study included consecutive adults undergoing EUS for suspected IPMN detected with cross-sectional imaging (CT/MRCP) between 2013 and 2015 (Cohort 1) and 2018-2020 (Cohort 2).

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This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To determine the benefits and harms of injury prevention programmes on anterior cruciate ligament injuries.

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This study aims to develop a stable and efficient magnetic nanocomposite hydrogel (MNCH) for selective removal of methylene blue (MB) and crystal violet (CV). MNCHs with different FeO contents (0-9 wt%) were synthesized following graft co-polymerization method using sodium alginate, acrylamide, itaconic acid, ammonium persulfate and N,N-methylene bisacrylamide. Among them, MNCH, with 5 wt% FeO, showed highest removal efficiency (>95 %).

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The present work describes the synthesis of WO3-BiVO4- nanoflakes heterostructure (NFHs) by a single step hydrothermal method. The analysis of crystalline phases and structural behavior deduced the formation of good crystal quality WO3-BiVO4 NFHs. Under microscopic observation, the as-prepared WO3-BiVO4 displayed uniform and conspicuous nanoflakes like structures.

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Background: Diabetic retinopathy (DR), a leading cause of vision loss worldwide, is a common complication of type 2 diabetes mellitus (T2DM) driven by chronic hyperglycemia and microvascular damage. Fibroblast growth factor 21 (FGF21) is crucial in blood sugar regulation and has been linked to DR incidence and severity. While some studies suggest that FGF21 levels may contribute to the DR incidence, others propose a protective role.

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A method is proposed for fault classification in milling machines using advanced image processing and machine learning. First, raw data are obtained from real-world industries, representing various fault types (tool, bearing, and gear faults) and normal conditions. These data are converted into two-dimensional continuous wavelet transform (CWT) images for superior time-frequency localization.

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High fluoride (F) concentrations negatively affect the seed germination, plant growth, development, and yield of crops. L. is an F-sensitive crop frequently grown on marginal lands affected by F salts.

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Chitosan, a biopolymer derived from the deacetylation of chitin found in crustacean shells and certain fungi, has attracted considerable attention for its promising health benefits, particularly in gut microbiota maintenance and immune system modulation. This review critically examines chitosan's multifaceted role in supporting gut health and enhancing immunity, beginning with a comprehensive overview of its sources, chemical structure, and its dual function as a dietary supplement and biomaterial. Chitosan's prebiotic effects are highlighted, with a focus on its ability to selectively stimulate beneficial gut bacteria, such as Bifidobacteria and Lactobacillus, while enhancing gut barrier integrity and inhibiting the growth of pathogenic microorganisms.

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Heavy metal stress is one of the exorbitant problems faced by plants. Lead (Pb) stress is one of the prevalent stressors in agricultural fields. Nanofertilizers are being currently employed for mitigating heavy metal stress in plants.

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Artificial intelligence is rapidly changing our world at an exponential rate and its transformative power has extensively reached important sectors like healthcare. In the fight against cancer, AI proved to be a novel and powerful tool, offering new hope for prevention and early detection. In this review, we will comprehensively explore the medical applications of AI, including early cancer detection through pathological and imaging analysis, risk stratification, patient triage, and the development of personalized prevention approaches.

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Objectives: The paucity of data regarding the availability and extent of diagnostic medical services across sub-Saharan Africa hinders appropriate allocation of resources to improve health care in these regions. We assessed anatomic pathology (AP) and clinical pathology (CP) services in Nigeria, one of the most populous and fastest-growing countries in the world.

Methods: Two individual surveys (AP focused and CP focused) were developed by subject matter experts and administered to individuals involved in pathology and laboratory medicine diagnostic services at hospitals and laboratories across Nigeria between June and August 2022 using the American Society for Clinical Pathology email listserv.

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Gliomas are tumors arising in the central nervous system, frequently associated with Class I mutations and BRAF fusions. These mutations are adverse prognostic factors in juvenile gliomas, leading to high rates of recurrence and poor response to current treatments. The blood-brain barrier and the heterogeneity of gliomas complicate the development of a single treatment strategy for all cases.

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Deep learning has profoundly impacted agriculture by enhancing the accuracy and efficiency of plant classification tasks. In particular, advanced models have significantly improved the ability to classify various plant species based on their visual features. This study focuses on classifying alfalfa plant varieties using deep learning techniques.

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Introduction: The cowpea weevil, Fab., is the most economically important storage pest of cowpeas, causing up to 100 percent grain losses within six months of storage. To sustainably resist weevil damage, the cowpea cultivar IT86D-1010 was genetically modified via -mediated transformation to produce event CSI-32, which expresses the kidney bean alpha-amylase inhibitor 1 (αAI-1) protein exclusively in the seed, providing suppression of weevil development.

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