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156 articles for “early diagnosis and treatment”
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Immunological and Genetic Markers of Rheumatoid Arthritis Among Women in North India: A Case-Control Study
Abstract: Background: Rheumatoid arthritis (RA) is an autoimmune disease systemically afflicting women marked by chronic inflammation around the involved joints leading to joints destruction. It has both endocrinological and immunological associations as well as genetic associations but data pertaining to women of North India is scanty.Objective: This case-control study was done to evaluate the presence and significance of major immunological and genetic markers of RA in North Indian women with the …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Neurobehavioral Disorders: Mapping Biomarkers for Preclusion
Abstract: Neurobehavioral disorders include Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), Schizophrenia, Obsessive Compulsive Disorder (OCD)and Intellectual Disability (ID) as present serious problems for individuals as well as the community. These illnesses are characterized by a wide range of complex symptoms, which makes early assessment, diagnosis, and treatment challenging. However, recent developments in technology and neuroscience have given rise to fresh understandings of the fundamental processes and potential biomarkers …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 2, 2023 · pp. 8–22 Read article
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The Hidden Struggle: Premenstrual Depression its Impact on Women’s Health and Management Strategies: A Narrative Review.
Abstract: Background: Premenstrual depression, including Premenstrual Syndrome (PMS) and Premenstrual Dysphoric Disorder (PMDD), represents a significant yet underrecognized contributor to women’s mental health burden. Hormonal fluctuations during the luteal phase interact with neurotransmitter systems, particularly serotonin and GABA, leading to affective and somatic symptoms that impair daily functioning. Objective: This systematic review synthesizes evidence on the prevalence, pathophysiology, psychological impact, and management strategies of premenstrual depression among reproductive-aged women, with particular …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 · pp. 21–32 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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Understanding Leukemogenesis: Challenges and Advancements in Diagnostic Approaches
Abstract: Leukaemia development, or leukemogenesis, is a multifactorial process driven by a complex interplay of environmental, genetic, and epigenetic factors. Despite substantial advancements in technology and medicine, which have enhanced our understanding of the contributing factors, early and accurate diagnosis remains a major challenge due to the overlapping clinical features shared by the various leukaemia subtypes. This study explores the molecular and cellular mechanisms underlying leukemogenesis, while also addressing the difficulties …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 11–22 Read article
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Ayurveda as a Medium of Healing: A Critical Review of Classical Concepts and Modern Evidence
Abstract: Ayurveda, recognized as one of the world’s oldest holistic healing systems, has its origins in India over 5,000 years ago. Rooted in a philosophy that views health as a harmonious balance of body, mind, and spirit, Ayurveda offers a comprehensive and individualized approach to wellness. This traditional system of medicine is grounded in the concept of the Tridosha Vata, Pitta, and Kapha representing the fundamental bio-energetic forces governing physiological and …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 40–44 Read article
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A Systematic Review on Coronary Heart Disease: A Transient Ischemic Stroke
Abstract: Coronary Heart Disease (CHD) and Transient Ischemic Attack (TIA) are significant cardiovascular and cerebrovascular disorders that often share similar risk factors and underlying pathophysiological processes. CHD involves the narrowing or obstruction of the coronary arteries due to atherosclerosis, resulting in diminished blood flow to the heart. A transient ischemic attack (TIA), often called a "mini stroke," occurs when blood flow to the brain is briefly disrupted, usually due to a …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 Read article
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Advances in Diagnostic Techniques in Veterinary Medicine
Abstract: Diagnostic techniques play a crucial role in veterinary medicine for accurate disease identification, treatment planning, and monitoring of animal health. This review article explores the latest advancements in diagnostic tools and technologies used in veterinary medicine, focusing on imaging modalities, molecular diagnostics, and point-of-care testing. The first section discusses the advancements in imaging modalities, including digital radiography, computed tomography (CT), magnetic resonance imaging (MRI), and ultrasonography. These technologies have revolutionized …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 12, Issue 1, 2023 · pp. 1–4 Read article
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Early Heart Failure Recognition for Infants Using Machine Learning
Abstract: The care of newborn infants remains a significant responsibility for healthcare professionals, as ensuring infant survival can often be complex and demanding. Conditions such as heart failure and cardiac arrest in infants are life-threatening and require prompt diagnosis and treatment. Detecting cardiac problems at an early stage can greatly enhance survival outcomes and minimize serious complications. In recent years, machine learning (ML) approaches have become valuable tools for predicting cardiovascular …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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A Review on Current Scenario and Update on Vaccine for Covid-19
Abstract: Background: COVID-19 pandemic is caused by SARS-CoV-2 . The SARS-CoV-2 is a beta coronavirus belonging to the family of Coronaviridae. The outbreak of novel coronavirus had a major impact on health care professionals like physicians, pharmacist, microbiologist etc. Current scenario of detection of SARS-CoV-2(COVID-19) is made through a nasopharyngeal swab based on RT-PCR technique. Some novel recent studies suggest the evidence of the possible role of fluid which is present …
Published in Research and Reviews : A Journal of Immunology · Vol. 10, Issue 3, 2020 · pp. 1–7 Read article
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Novel Approach for Automated Diagnosis of Diabetic Retinopathy
Abstract: Automated and early diagnosis of diabetic retinopathy is a crucial need. Diabetic retinopathy (DR) is the major cause of blindness among people. DR is a progressive disease classified according to the presence of various clinical abnormalities. It doesn’t have any visible symptoms till the disease is at late stage. Therefore, it necessary to detect DR at early stage and to ensure proper treatment. For early detection of DR, different automated …
Published in Journal of Electronic Design Technology · Vol. 7, Issue 1, 2016 · pp. 9–13 Read article
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A Review on Applications of Artificial Intelligence (AI) in Parkinsons’s Disease Diagnosis and Treatment and Its Future Challenges
Abstract: Parkinson’s disease (PD) is a long-term, progressive neurodegenerative disorder that mainly occurs in people older than 60 years, affecting nearly 1% of this population. It is chiefly marked by the loss of dopaminergic neurons in the substantia nigra, a crucial brain region responsible for controlling motor functions. The resultant dopamine deficiency significantly disrupts motor control, manifesting in clinical symptoms such as tremors, bradykinesia, muscle rigidity, and postural instability. While PD …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 1–15 Read article
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Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article
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An Emerging Cause of Treatable Encephalitis: A Case of Anti-NMDA receptor (NMDAR) Encephalitis
Abstract: Anti-NMDA Receptor encephalitis is the most common type of autoimmune limbic encephalitis known. It is characterised by sub-acute onset of psychiatric symptoms along with refractory epilepsy, orofacial and limb dyskinesia and dysautonomia. High clinical suspicion and appropriate antibody testing in cerebrospinal fluid (CSF) and serum is required for early diagnosis and initiation of immunotherapy. Delay in treatment may lead to significant permanent neuro-deficits as well as mortality. Here, we present …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 7, Issue 3, 2017 · pp. 8–11 Read article
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Concept of Upashaya—A Multifactorial Diagnostic Tool in Ayurveda
Abstract: Ayurvedic approach of diagnosing any disease is a complex process in which various factors are to be understood. Treatment and diagnosis begins with RogaPareeksha (ailment examination) and Rogi Pareeksha (patient examination). Once these two concepts are clear, Vyadhi Vinishchaya and vyavaccheda (Differential diagnosis) will be perfect. This facilitates the Vaidya to make a wise choice of drugs and appropriate Chikitsa (treatment). Out of numerous ways of diagnosis in Ayurveda, one …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 8, Issue 2, 2019 · pp. 13–18 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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Comparative Study of Machine Learning Algorithms for Detection of Breast Cancer
Abstract: Breast cancer continues to be the most commonly diagnosed cancer among women, with more than 2.3 million new cases diagnosed yearly worldwide. It is stated as the leading cause of cancer-related deaths. Therefore, this emphasizes the dire necessity for early diagnosis with a view to improving survival. Early diagnosis elevates the effectiveness of prediction and treatment. This research carries out a structured and analytical evaluation of various machine learning algorithms, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 113–129 Read article
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Pneumonia Identification Using Explainable Artificial Intelligence
Abstract: Pneumonia, including tuberculosis (TB), remains one of the leading causes of death worldwide, especially in regions where access to healthcare is limited. Early and accurate diagnosis is critical for effective treatment and better patient outcomes, but traditional methods are time-consuming and require specialized expertise. This study explores the use of advanced deep learning models VGG16, VGG19, and ResNet50 to detect pneumonia and TB from chest X-ray images. By leveraging transfer …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 01–11 Read article
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Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification
Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article