All articles
290 articles
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A Comprehensive Review on Mentha arvensis Species
Abstract: Mentha arvensis L., often referred to as field mint or wild mint, is a fragrant medicinal herb in the Lamiaceae family and is extensively found in temperate and subtropical areas. The plant is appreciated for its essential oil, notably high in menthol, which adds to its unique scent and extensive medicinal possibilities. Historically, M. arvensis has been utilized in several medical systems for addressing digestive issues, respiratory problems, headaches, and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article
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Modernizing Pharmacovigilance: Leveraging AI, Automation, and Real-World Data for Drug Safety
Abstract: Pharmacovigilance, or PV, is “the pharmacological science relating to the detection, assessment, understanding, and prevention of adverse effects, mainly long term and short-term adverse effects of medicines.” PV’s specific objectives are to increase patient care and safety when using medications and all medical and paramedical therapies; assist in evaluating the benefits, drawbacks, efficacy, and risks of medications, ensuring their safe, prudent, and more effective use; and promote clinical training, education, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 12–21 Read article
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Computational Exploration of Aristolochia indica Bioactive Compounds Against Snake Venom Proteins Using Docking and Dynamics Simulations
Abstract: Snakebite envenoming is a neglected health threat impacting millions of people each year especially in tropical and subtropical countries. Ethnomedicinal plants are sources of various bioactive compounds and have been utilised by several tribes across the world for centuries. Aristolochia indica is a perennial herb mentioned in the Indian Ayurveda with a long history of use against snake venom, scorpion venom, fevers, rheumatic arthritis, liver ailments, leishmaniasis etc. The major …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Enhancing Remote Patient Monitoring with Ai-Powered Virtual Assistants
Abstract: Artificial Intelligence (AI) is transforming personalized education by tailoring learning materials to meet the distinct needs, preferences, and progress of individual students. This paper explores how AI technologies—such as machine learning, natural language processing, and adaptive learning systems are improving the effectiveness of personalized learning experiences. Through AI, students benefit from timely feedback, access to intelligent tutoring systems, and data-driven insights that enable educators to enhance their teaching strategies. Additionally, …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Diet-Gene Interactions in Farm Animals: Molecular Dynamics, Gene Expressions, Signalling Pathways and Precision Nutrition for Sustainable Productivity
Abstract: Diet-gene interactions represent a central mechanism through which nutrition influences growth, health, and productivity in farm animals. Recent advances in molecular biology and genetics have revealed that nutrients act not only as metabolic substrates but also as signalling molecules capable of modulating gene expression, cellular pathways, and epigenetic regulation. This review synthesizes current knowledge on the molecular dynamics of nutrient utilization in farm animals, with emphasis on nutrigenomic responses, nutrient …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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Factors Affecting Mammalian Embryo Culture: A Detailed Review
Abstract: Human IVF has made remarkable progress, but optimizing the in vitro environment remains essential and crucial for supporting embryo development and improving overall clinical outcomes in assisted reproductive technologies (ART). Even with advances in complex culture media, incubator design, and laboratory workflows, embryos grown outside the body are still exposed to chemical and physical stressors that can significantly affect their developmental potential. In this review, we discuss key chemical stressors, …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Lab Reagents and Their Importance in Bio-chemistry
Abstract: Biochemical reagents are essential substances in the study of life at the molecular level. These reagents help scientists detect, identify, and quantify bio-molecules such as proteins, carbohydrates, nucleic acids, and enzymes in biological systems. They play a vital role in understanding metabolic reactions and physiological processes within living organisms. Biochemical reagents are generally classified into analytical, diagnostic, enzymatic, chromogenic, and buffer reagents, each serving a specific purpose in laboratory and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article
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Adoption Barriers to Advanced Reproductive Technologies in the Subsistence Dairy Farming Systems: Key Constraints and the Way Forward
Abstract: The adoption of advanced reproductive technologies (ARTs) in subsistence dairy farming remains limited despite their potential to enhance genetic improvement, fertility rates, and overall productivity. This study explores the key constraints hindering the integration of ARTs, including artificial insemination, embryo transfer, and ovulation synchronization, within small-scale dairy production systems. Financial constraints, lack of awareness, inadequate veterinary support, and socio-cultural resistance are identified as primary barriers. Limited access to affordable credit, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 12, Issue 1, 2026 Read article
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Digital Frontiers in Life Sciences: The Transformative Role of Computing in Modern Biology
Abstract: The integration of computers in the biological sciences has revolutionized research and experimentation, facilitating advancements in areas such as genomics, bioinformatics, systems biology, and ecological modeling. The ability to process vast amounts of biological data efficiently has transformed how scientists study complex biological systems and phenomena. Computational tools enable the analysis of DNA sequences, protein structures, metabolic pathways, and ecological dynamics, which were previously beyond the reach of traditional laboratory …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Optimizing Grazing Systems for Promoting Early Puberty in Dairy Heifers: An Integrated Nutritional Perspective
Abstract: The onset of puberty in dairy heifers is a critical milestone in ensuring optimal reproductive performance and overall herd productivity. Grazing systems, when strategically managed, may play a significant role in accelerating puberty through their influence on nutritional intake and heifer management practices. This review explores the impact of different grazing systems on the nutritional status of dairy heifers, emphasizing the balance between nutrient supply and demand during critical growth …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 4, Issue 1, 2026 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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A Systematic Review on The Role of Artificial Intelligence in Assisted Reproductive Technology
Abstract: Artificial Intelligence (AI) has significantly transformed Assisted Reproductive Technology (ART) over the past five years, enhancing diagnostic accuracy, treatment personalization, and overall success rates. AI-driven algorithms and machine learning models have been integrated into various aspects of ART, including sperm selection, embryo grading, and predicting implantation success. Deep learning techniques have improved image-based embryo assessment, reduced human subjectivity and increased efficiency. Additionally, AI-powered predictive analytics have helped optimize ovarian stimulation …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Advanced Security Mechanisms for AIDL Communication in High-Risk Environments
Abstract: Android Interface Definition Language (AIDL) serves as a critical component for inter-process communication (IPC) in Android systems, facilitating seamless interaction between different application components. However, in high-risk environments, such as military, healthcare, and financial systems, AIDL communication faces significant security challenges, including unauthorized access, data tampering, and privilege escalation. This paper presents a detailed review of the advanced security mechanisms designed to safeguard AIDL communication in such environments. We propose …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Temporal Shifts in Forage Quality: Stage of Maturity, Biomass Yield, Performance Matrix, and Ecosystem Responses
Abstract: Forage quality is a key determinant of livestock productivity and environmental sustainability, with its dynamics closely linked to the stage of maturity, biomass yield, and broader ecosystem interactions. This study explores the temporal shifts in forage quality throughout its growth cycle, emphasizing the effects of maturity on nutrient composition, digestibility, and overall biomass yield. The relationship between these factors and their impact on animal performance, including milk yield, growth, and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 4, Issue 1, 2026 Read article
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Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Innovative Technologies for Sustainable Dairy Development: Implications for Improved Efficiency, Resource Utilization and Environmental Footprints
Abstract: This study explores innovative technologies in dairy farming aimed at enhancing sustainability through improved efficiency, optimized resource utilization, and reduced environmental footprints. As global demand for dairy products increases, the need for sustainable practices has become paramount, particularly in regions where agricultural systems face environmental and resource constraints. The paper examines a range of cutting- edge technologies, including precision feeding systems, genomic selection, automated health monitoring, and waste management solutions. …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 Read article
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Integrative Network Biology Analysis of GSE6011 Uncovers Molecular Signatures in Duchenne Muscular Dystrophy
Abstract: Duchenne muscular dystrophy (DMD) is a rare, severe neuromuscular disorder demonstrated by progressive skeletal muscle deterioration and premature mortality. Despite advances in supportive care, no definitive cure exists, highlighting the need to explore novel molecular targets. The current study aimed to uncover key dysregulated genes and molecular pathways in DMD through a dataset-specific network biology approach. Publicly available microarray data (GSE6011) from DMD quadriceps muscle biopsies of 22 patients and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 36–48 Read article
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Fermented Foods: Functional and Regulatory Insights
Abstract: Traditional fermented edible products have been in the food industry since ancient times. Today, the fermentation process has become most common in the health food industry. Due to the microorganisms present in fermented food products, the health benefits have been helpful in many ways. Fermentation helps in enhancing gut health, blood sugar, blood pressure, and brain health. These food products also play a major role in lowering cancer risk and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 1–10 Read article