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135 articles for “Diagnostic tests”
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Correlation Between Low Back Pain and Foot Posture Deviations in School Teachers of Navsari
Abstract: BACKGROUND Low back pain is the condition that significantly impacts daily life and professional activities, particularly in occupation requires prolonged standing or movements, such as teaching. The aim of the study is to find the correlation between low back pain and foot posture deviations in school teaches of Navsari. The Quebec Back Pain Disability Scale (QBPDS) is a 20-item self- administered instrument designed to assess the level of functional disability …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 2, 2026 Read article
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Enhanced Diabetes Prediction: A Comparative Study of Machine Learning Models
Abstract: Excessively high blood glucose levels lead to diabetes, a condition that can be better managed with early detection, resulting in a longer life and improved health. Machine learning models are essential tools in diagnosing diabetes, especially when trained on appropriate and relevant datasets. In this study, a combination of ensemble methods and nine distinct machine learning algorithms were utilized to develop a predictive model for diabetes diagnosis based on a …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
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Postprandial Elevation of Body Temperature – A Diagnostic Tool for Diq (Tuberculosis)
Abstract: AbstractDiq (tuberculosis) is one of the oldest diseases. The writings from different civilizations represent its clues. The man has been striving to know, to identify, to diagnose, to cure, to prevent and to eradicate this emaciating disease. All renowned Unani physicians have paid due attention towards the description of this disease. They are of the opinion that Diq is a condition in which Hararat Ghair Tabayee (abnormal heat) is associated …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 2, Issue 2, 2013 · pp. 37–44 Read article
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Evaluating the Role of Platelet Indices, with a Focus on Immature Platelet Fraction (IPF), in Differentiating Hyper-Destructive and Hypo-Productive Thrombocytopenia: A Study from Ludhiana, Punjab, India
Abstract: Background: Thrombocytopenia, characterized by a reduction in platelet count, is commonly observed in clinical settings. Its etiology can be broadly classified into hyper-destructive thrombocytopenia, where platelets are destroyed at an accelerated rate, and hypo-productive thrombocytopenia, where platelet production is impaired. Differentiating between these two causes is essential for effective management. The Immature Platelet Fraction (IPF) has emerged as a promising non-invasive diagnostic tool to distinguish these causes. Objectives: The primary …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Current Perspectives of Prader -Willi Syndrome: A Multisystem Approach
Abstract: Prader-Willi syndrome (PWS) is a genetic disorder with multisystem involvement, caused by the lack of expression of genes on the paternally inherited chromosome 15q11.2-q13 region from paternal 15q11-q13 deletions (about 60%) or maternal uniparental disomy 15 or both. It is a complex and contiguous gene disorder which affects the multiple systems with many clinical presentations especially hypothalamic insufficiency. The clinical features are characterized by short stature position, developmental delay, cognitive …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 42–48 Read article
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Role of Fluid Engineering in Biomedical and Healthcare Systems: A Comprehensive Review
Abstract: Fluid engineering — the study and application of fluid behavior, transport, and interaction — has become a cornerstone of modern biomedical and healthcare systems. This review synthesizes the multifaceted roles fluid engineering plays across diagnostics, therapeutics, biomedical devices, and physiological modeling. Micro-fluidics enables precise manipulation of microliter and nanoliter volumes, facilitating rapid point-of-care diagnostics, high-throughput screening, and the fabrication of uniform nano particles for targeted drug delivery. In cardiovascular medicine, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Serum Advanced Oxidation Protein Products (Aopp) in Oral Squamous Cell Carcinoma (Oscc): Possible Markers of Diagnostic Significance
Abstract: The aim of this study was to measure the concentrations/levels of serum, total proteins and advanced oxidation protein products as the markers of oxidant mediated protein damage in the sera of patients with oral cancers. The study consisted of the sera analysis of serum total protein, albumin and advanced oxidation protein products’ levels in 30 age and sex-matched controls, 60 patients with reported pre-cancerous lesions and/or conditions and 60 patients …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 1, Issue 1, 2012 · pp. 16–29 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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Advanced Polymer Nanocomposite EEG Electrodes for Enhanced Epileptic Seizure Detection: A Comparative Analysis
Abstract: Electroencephalography (EEG) has been very important in the detection of epileptic seizures so as to enable successful diagnosis, surveillance and therapy of epilepsy. Nevertheless, EEG electrodes based on traditional metals may be limited due to high or high contact impedance, lack of biocompatibility, discomfort to patients and prone to motion artifacts, which interfere with signal quality and diagnostic adequacy. The recent progress in material science has resulted in coming up …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 Read article
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Assessment of Prognosis in Madhumeha (Diabetes Mellitus) Using Tail Bindu Mutra Pariksha
Abstract: The science of Ayurveda is supposed to be based upon observations and experience based medical science. The physiological aspects of Ayurvedic concepts are equally important to pathological and clinical Ayurveda. In Ayurvedic texts various methods of examination of patient (Rogi Pariksha) as well as disease (Roga Pariksha) has been described separately. Tail Bindu Pariksha as described in yoga ratnakar is one such method of urine examination. The Tail Bindu Mutra …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 5, Issue 3, 2016 · pp. 5–12 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Stability study of Bhringraj Vati & Triphala Gugulu - With respect to baseline microbial diagnostic modalities
Abstract: In last a few decades, market of herbal and traditional medicines have grown up leap and bound. The main drawback of traditional medicines is a lack of stability. Hence the present Study was carried out to observe the stability of Bhringraj Vati (Eclipta alba Hassk) & Triphala Gugulu with respect to its stability against microbial contamination of sample prepared and store in different climatic conditions and temperature. Sample of Bhringraj …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 10, Issue 1, 2020 Read article
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Exocrine Pancreatic Insufficiency: A Review
Abstract: “Exocrine pancreatic insufficiency”, often known as EPI, is a condition diagnosed in gastroenterology that is defined by insufficient or inaccurate pancreatic fluid secretion as well as pancreatic lipase function. The clinical symptoms as well as metabolic variations that EPI might cause can sometimes lead to outcomes that put a person's life in jeopardy. EPI is common in a variety of conditions that are not related to the pancreas, in addition …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 30–34 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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Impact of Training Program on Recent Innovations in Oncology Among Nursing Professionals
Abstract: Introduction: In recent years, there have been significant advancements and trends in the field of oncology treatment in India. This study aimed to evaluate impact of training program on knowledge regarding recent innovations in oncology among nursing professionals. After ethical approval, a pre-experimental, one group pretest- post-test design was used to conduct this research at anursing college of Punjab. Methods: The sample was selected using the total enumerative sampling technique. …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 9–14 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
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Development of a Polymeric Detection System for Salivary Annexin-1: A Potential Tool for Point-of-Care Diagnostics in Periodontal Disease
Abstract: Salivary annexin-1, a protein with anti-inflammatory properties, has emerged as a potential biomarker for periodontal disease. However, current detection methods, like ELISA, are often complex and require laboratory settings. This study explores the development of a novel polymeric detection system for the rapid and sensitive identification of salivary annexin-1. This system could leverage the unique properties of polymers to create a point-of-care diagnostic tool for: (1) early detection and monitoring …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 101–110 Read article
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Diagnostic Modalities Used for Fungal Isolates Confirmed in Clinically Suspected Cases of Otomycosis: A Screening Study
Abstract: Otomycosis is one of the most attending ailed in ENT practice. Fungal infection of external auditory canal is called otomycosis. Discomfort or pain, itching, ear blockage and ear discharge are symptoms of otomycosis. Ear discharge is seen in the cases of bacterial otitis externa (Furuncle or diffuse otitis externa), otomycosis, acute otitis media, chronic otitis media, etc. So to confirm diagnosis of otomycosis, microbiology test of ear discharge is needed. …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 8, Issue 3, 2018 · pp. 58–64 Read article