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431 articles for “Gene Identification”
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Genetic Authentication of Acacia Senegal (L.) Wild
Abstract: A study was carried out to ascertain the taxonomic identity and phylogenetic lineage of three presumed Acacia senegalensis using molecular markers. Three (3) varieties of seeds presumed to belong to Acacia spp. were collected from the Rubber Research Institute of Nigeria (RRIN) Benin City and three BP haplotypes (A, B, and C) was used as control for the analysis. These seeds were processed at the Applied Biotech International Laboratory Nigeria …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 33–39 Read article
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Artificial Intelligence in Diagnostics: Advancements, Challenges, and Future Prospects
Abstract: AI is changing (and will change) healthcare as we know it, and diagnostics might be the specialty that feels the most discomfort. Artificial intelligence-based analytical systems are facilitating the detection, diagnosis, and treatment of a variety of diseases, with better accuracy, speed, and results. Now, this abstract investigates the role of AI in diagnostics, scouring its elements, landmark techniques, transformative impact and future overview. This article explains AI and discusses …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 8–17 Read article
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Geospatial Measurement of Shrinking Lake Mead Using Multi-Temporal Datasets From 1987 to 2020 and Its Relationship with the Climate Change
Abstract: The study provides an overview of the relation between climate change and its harsh consequences, and thereby revealing evidence of extremes conditions such as drought. Lake Mead of USA is one such example which is a readily contracting lake. The reason is fast temperature increment, human exploitation, etc. therefore leading to jeopardized and devastating effects on life structure. GIS and Remote Sensing has emerged as an extraordinary key instrument for …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 18–27 Read article
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Progression in multi-omics and immunological research on host-parasite interactions: Transcriptomics, proteomics, genomics, metabolomics, and immune responses
Abstract: The interaction occuring between hosts and parasites is a quick and multi step-complex biological process that tries to influence disease outcomes. In recent years, multi-omics approaches, such as transcriptomics, proteomics, genomics, metabolomics, and immunological studies, have gathered substantial eye in dissecting these interactions at a microscopic level. These techniques enable a vast understanding of the molecular structures involved in parasitic infections and host defense mechanisms. This article reviews the advancements …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 Read article
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Zebrafish in Drug Research: Decoding Biological Mechanisms and Finding Novel Therapeutic Targets
Abstract: The zebrafish, scientifically known as Danio rerio, is a powerful model organism in biological research because of its favorable traits, which include rapid development, genetic tractability, and transparent embryos. Zebrafish were first identified for their use in studies of vertebrate development, but they have since spread to a variety of disciplines, such as pharmacology, clinical research as a disease model, and most notably, drug development. Zebrafish have emerged as a …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 · pp. 1–8 Read article
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An Insight for Visually Impaired using AI Techniques
Abstract: We know that the life of blind people is very risky. They always need an assistance or another person for helping them.In this project we introduce AI spectacles for blinds, which will help them to find what is happening in front of them and they will be able to find their own things without any help. In this proposed system,weareusing a real time object detection using YOLOv3 model.‘You only look …
Published in Journal of Artificial Intelligence Research & Advances Read article
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Evolution and Impact of Forensic DNA Typing in Modern Investigation
Abstract: Forensic DNA typing is sometimes called DNA fingerprinting. Immigration, paternity, and criminal investigations use forensic DNA typing. Forensic genetics today includes bodily fluid identification, fast DNA analysis, forensic microbiology, and phenotypic profiling. Human cells contain DNA, a molecular code. Human DNA sequences are 99.9% the same in everyone. Every person has almost 0.1% unique DNA. Forensic experts also worry about this 0.1 percent of DNA that is unique. There are …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 62–66 Read article
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Leveraging Genome-Wide Association Studies for Precision Medicine in Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) are the leading cause of death globally, with complex etiologies involving genetic, environmental, and lifestyle factors. Genome-wide association studies (GWAS) have significantly advanced the understanding of genetic underpinnings of CVDs by identifying numerous risk loci and variants associated with various cardiovascular conditions. This review explores the potential of GWAS to drive precision medicine in cardiovascular diseases by linking genetic data with clinical outcomes, providing insights into disease …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 35–39 Read article
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A Comparison of Different Generative AI Models
Abstract: Generative models have significantly advanced the field of artificial intelligence by allowing machines to produce complex and realistic outputs such as images, text, and other forms of data. Among the leading frameworks in this domain are generative adversarial networks (GANs), variational autoencoders (VAEs), and architectures based on Transformers. Each model offers specific benefits and drawbacks concerning design structure, training demands, and range of applications. This paper provides a detailed comparison …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 16–22 Read article
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Management of Ship-Generated Pollution in Nigerian Seaports
Abstract: The impact of ship-borne pollution in Nigeria’s seaport is alarming. Following the guidelines of the International Convention for the Prevention of Pollution from Ships (MARPOL). This study identifies the types of ship-generated waste; evaluates the availability of waste reception facilities in Nigerian seaports, examining the costs of operation waste reception facilities in the Nigerian Seaports; examines the management of ship waste collection processes in the Nigerian Seaports; investigates the implementation …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 2, 2025 · pp. 23–42 Read article
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Clone-Specific Drug Delivery Systems: Targeted Approaches and Future Clinical Applications
Abstract: Clone-specific drug delivery systems represent a transformative frontier in personalized medicine, addressing the longstanding challenge of clonal heterogeneity within diseases such as cancer, infectious diseases, and autoimmune disorders. Traditional drug delivery platforms often fail to discriminate between pathogenic and healthy cells, leading to systemic toxicity and reduced therapeutic efficacy. In contrast, clone-specific systems aim to selectively target and eliminate disease-driving cellular clones based on unique molecular signatures, thereby improving treatment …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 21–29 Read article
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Multifactorial Diseases Becoming the Epigenetic Factor for the Genz
Abstract: This comprehensive paper investigates the complex interplay between multifactorial diseases, particularly obesity and cardiovascular disease (CVD), and their relationship with epigenetic mechanisms, highlighting the transgenerational implications of these interactions. The multifaceted nature of obesity and CVD, involving genetic predisposition, environmental influences, and epigenetic modifications, underscores the intricate pathways contributing to disease susceptibility and progression. Drawing upon a synthesis of diverse research findings, the paper elucidates the critical role of genetic …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 1, 2024 · pp. 16–22 Read article
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Enhancing Smart Grid Security: Machine Learning Approaches for Detecting Anomalies
Abstract: The integration of Information and Communication Technology (ICT) with traditional electric grids has led to the development of smart grids. However, this integration has also increased the risk of anomalies, such as cyber-attacks, metering fraud, electricity theft etc. False Data Injection Attacks are a class of cyber-attacks against power grid monitoring systems, where adversaries can inject false data to manipulate the grid’s operation. Metering frauds pertain to malicious customers com- …
Published in Trends in Electrical Engineering · Vol. 14, Issue 2, 2024 · pp. 10–19 Read article
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A Review on Artificial Intelligence Techniques for Analyzing Deforestation and Illegal Logging Using Satellite Imagery
Abstract: Deforestation and illegal logging remain critical environmental threats, driving biodiversity loss, climate change, and socio-economic disruption. Conventional monitoring techniques frequently do not yield real-time, large-scale insights. Recent developments in Artificial Intelligence (AI), especially in deep learning and computer vision, have revolutionized the ability to analyze high-resolution satellite images for detecting deforestation and monitoring illegal logging. This review synthesizes recent developments in AI-driven approaches, highlighting convolutional neural networks (CNNs), anomaly detection …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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Improving Supply Chain Resilience through Predictive Analytics and Real-Time Data Integration
Abstract: Demand forecasting has under gone major changes because to the incorporation of automated analytics into supply chain management (SCM), which has improved company productivity, accuracy, and responsiveness. Central to this transformation is the application of machine learning (ML), which enables the analysis of large and complex datasets to identify patterns, detect trends, and generate precise forecasts. Conventional methods for predicting frequently rely on linear models and historical sales data, which …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 8–17 Read article
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Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence
Abstract: The increasing demand for sustainable and autonomous environmental monitoring systems has motivated the development of biologically integrated sensing technologies that combine living organisms with advanced cybernetic intelligence. This study proposes a novel framework of Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence, where living plants act as self-sustaining sensing platforms capable of continuously monitoring environmental conditions without external energy sources. By integrating bioelectrical signal acquisition modules, flexible nanomaterial electrodes, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Artificial Intelligence in Drug Repurposing: A Short Impact Assessment
Abstract: Artificial intelligence (AI) in pharmaceutical repurposing has become a game-changing tool that opens new avenues for the application of new drugs that have already been approved. Traditional drug discovery is a lengthy and expensive process, whereas AI can rapidly analyze vast datasets of biological, chemical, and clinical information to predict drug-disease interactions. AI-driven techniques, such as machine learning, natural language processing, and deep learning, enable the identification of potential repurposing …
Published in Trends in Drug Delivery · Vol. 11, Issue 3, 2024 · pp. 42–45 Read article
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Recombinant Protein Manufacturing Using Actinomycetes as Host Cells
Abstract: Actinobacteria are highly sought-after for use as cell factories or bioreactors in the pharmaceutical, agricultural, industrial, and environmental sectors. The commercial production of these proteins as recombinants and the biochemical and structural characterization of key proteins have been made possible by the genome sequencing of numerous species of actinomycetes. In this regard, better expression vectors that may be used with actinomycetes are required. As discussed in this article, recent developments …
Published in Research & Reviews: A Journal of Bioinformatics Read article
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Understanding the Impact of GMO on Hormones and Their Effect on Mood: A Review Paper
Abstract: The research evaluates how consuming genetically modified organisms affects endocrine functioning that can potentially lead to mood changes or disorders. This is a systematic review paper that analysed sixty publications before selecting thirty which were obtained from Sciencedirect, Frontiers, Springer, Oxfordacadamic, Cabidigitallibrary, Wileyonlinelibrary, Cambridgeuniversitypress, Scijournals, Mdpi, Metabolismjournal; while using Prisma Flow Diagram as the research tool; acknowledging that human hormonal health risks from GMO consumption remain largely unknown due to …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 3, 2025 Read article
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The Intersection of Bioinformatics and Cellular Function in Disease Modeling
Abstract: The integration of bioinformatics and cellular biology has revolutionized our understanding of disease mechanisms, offering unprecedented opportunities to model complex biological systems. Bioinformatics is an interdisciplinary field that merges biology, computer science, and statistics, offering advanced tools to analyze vast biological datasets. Cellular functions, including gene expression, protein interactions, and metabolic pathways, form the foundation of physiological and pathological states. Disruptions in these processes can result in diseases like cancer, …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article