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106 articles for “Biomarkers”
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Study to evaluate and correlate the levels of heavy metals in dental calculus of burnt tobacco (Mishri) users and non-tobacco users with their periodontal status Using Atomic Absorption Spectrometry (AAS)
Abstract: The use of burnt tobacco products, such as Mishri, is associated with numerous health risks, including periodontal diseases. Heavy metals present in tobacco can accumulate in dental calculus, potentially exacerbating periodontal conditions. This study aimed to assess and establish a correlation between the levels of heavy metals present in dental calculus among burnt tobacco (Mishri) users and non-tobacco users, in relation to their periodontal health status. Utilizing Atomic Absorption Spectrometry …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 166–174 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
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Butrin Tackles Retinoblastoma – A Clinical Hypothesis †
Abstract: Breach of association of legumain protein activities to the corresponding cellular components results in over-expression of legumain, and constitutes a key biomarker for a variety of life-taxing sicknesses like cancer, Alzheimer’s/Parkinson’s and acute kidney injury. To suppress the functions of legumain, it is hypothesized that a water soluble and edible biomolecule, namely, butrin (7, 3’, 4’-trihydroxy flavanone-7, 3’-diglucoside) may have the therapeutic potential owing to its special ability to bind …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 26–30 Read article
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Microbial Symphony: Understanding Biochemical Pathways for Precision Medicine and Beyond
Abstract: The human microbiome, an intricate ecosystem of microorganisms inhabiting the body, is a key regulator of host biochemistry and physiology. This review delves into the complex biochemical pathways influenced by the microbiome, spotlighting critical metabolites like short-chain fatty acids, bile acids, and tryptophan derivatives, which impact immune regulation, energy metabolism, and neurobehavioral functions. By examining interactions between the microbiome and the host, including the influence of genetic factors and metabolite-driven …
Published in International Journal of Antibiotics · Vol. 2, Issue 1, 2025 · pp. 28–43 Read article
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The Prognostic Efficacy of Inflammatory Indicators in Determining the Cause of Multiple Sclerosis Exacerbation
Abstract: Multiple sclerosis (MS) is the most prevalent immune-mediated inflammatory disease affecting the central nervous system, presenting with diverse clinical symptoms and manifestations. This study investigates the diagnostic potential of the monocyte-to-lymphocyte ratio (MLR), red cell distribution width-to-lymphocyte ratio (RLR), and systemic immune-inflammation index (SII) in detecting MS attacks among relapsing-remitting MS (RRMS) patients seeking care in the emergency department (ED). The research focused on RRMS patients who presented to the …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 1, 2025 · pp. 1–8 Read article
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Detection and Classification of Alzheimer’s Disease Using Deep Learning Technique
Abstract: It is crucial that people with Alzheimer's disease (AD) receive a proper diagnosis to begin preventative action before irreparable brain damage develops. Most people who suffer from Alzheimer's disease (AD), a neurological condition that progresses, are older than 65. The area of interest (ROI) in the hippocampus has been extensively studied for several purposes, including neurological illness research, stress development monitoring, and memory function analysis. Moreover, a connection between Alzheimer's …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 15–20 Read article
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Revolutionizing oncology - role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review
Abstract: Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 18–22 Read article
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Air Pollution and Immune Disorders in Women from Urban Punjab: A Clinical and Epidemiological Study
Abstract: Background: Urban Punjab, particularly cities like Ludhiana, Amritsar, and Jalandhar, experiences some of the highest air pollution levels in India due to industrial activity, vehicular emissions, and agricultural practices. Despite this, gender-specific health impacts—especially related to immune function—remain inadequately studied. Objective of the study is to investigate the relationship between air pollution exposure and immune-related disorders in women residing in urban Punjab. A cross-sectional study was conducted from 2022 to …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 36–40 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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Immunological Mechanisms Underlying Autoimmune Disorders: Recent Advances and Therapeutic Implications
Abstract: A diverse range of illnesses known as autoimmune disorders are typified by dysregulated immune responses against self-antigens, which result in tissue damage and persistent inflammation. Understanding the genetic, epigenetic, and environmental variables that contribute to autoimmune pathogenesis has advanced significantly during the last ten years. Current disease models have been transformed by new understandings of immunological tolerance mechanisms such as the functions of regulatory T cells, cytokine networks, and the …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 · pp. 21–25 Read article
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Modern Approaches in Lung Cancer Management from Herbal Nanomedicine to Artificial Intelligence
Abstract: Lung cancer continues to be a major global health concern and one of the leading causes of cancer-related mortality worldwide. Despite significant advancements in therapy, there is still a pressing need for safer and more effective therapeutic alternatives; problems such drug resistance, side effects, metastasis, and recurrence continue to impact patient outcomes and quality of life. Examining current advancements in the use of herbal drug-loaded nanoparticles as a novel approach …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Electrochemical Biosensors for Disease Diagnostics
Abstract: Electrochemical biosensors have emerged as one of the most promising tools for disease diagnosis because they combine high sensitivity, rapid response, portability, and low cost in a single analytical platform. In recent years, growing interest in early disease detection has pushed researchers to develop biosensors that can detect clinically important biomarkers in blood, saliva, urine, sweat, and other biological fluids. These sensors work through the interaction between a biological recognition …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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Nano-Enhanced Biosensors: Bridging the Gap in Early Disease Detection and Diagnosis
Abstract: This article provides an in-depth examination of nano-enhanced biosensors, a groundbreaking technology that combines nanotechnology and biosensing techniques to transform disease detection and diagnosis. These advanced sensors boast exceptional sensitivity, specificity, and rapid response times, enabling early detection and treatment of various medical conditions. The article covers the fundamental principles, current applications, and prospects of nano-enhanced biosensors in multiple medical domains, including recent research, experimental investigations, and case studies. It …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 2, 2024 · pp. 10–17 Read article
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Mystic Malignant Melanoma Modalities
Abstract: Melanoma is a highly aggressive form of cancer with four recognized subtypes. In about 90% of cases, melanoma is diagnosed as a primary tumor, without signs of spreading. If caught early, the survival rate is quite high, reaching around 94%. However, for metastatic melanoma, the survival rate drops significantly to about 40%. Diagnosing melanoma can be tricky, as it shares features with benign conditions like seborrheic keratosis, benign moles, blue …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 1–10 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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Alcohol, Circadian Glymphatic Dysfunction, and Neurodegenerative Protein Accumulation: An Emerging Concern in the Indian Context
Abstract: Alcohol consumption has long been identified as a major public health issue, yet its deeper and more subtle effects on the human brain are only now coming into sharper focus. Traditional explanations often emphasize direct neuronal damage, but emerging research in neuroscience suggests a more intricate story. Recent findings indicate that alcohol not only harms brain cells but also disrupts the body’s internal biological clock—the circadian rhythm—which plays a critical …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article
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A Comprehensive Review on Male Infertility
Abstract: The failure to attain a clinical pregnancy naturally after one year of unprotected intercourse is termed as infertility. Some of the factors that contribute to Infertility are late marriages, advanced age, genetics and lifestyle to name a few. To tackle this scenario, infertile and sub fertile couples take the aid of assisted reproductive technology. Intra uterine insemination (IUI), In vitro fertilization (IVF), Intra cytoplasmic sperm injection (ICSI), surgical sperm retrieval …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 3, 2025 · pp. 95–103 Read article
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Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article