Search
363 articles for “diagnosis”
-
Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article
-
Paediatric Epilepsy: Current Advances in Diagnosis and Management
Abstract: Paediatric epilepsy is one of the most common chronic neurological disorders of childhood, characterised by recurrent unprovoked seizures resulting from abnormal neuronal activity. Accurate diagnosis is essential and is based on a detailed clinical history, seizure semiology, neurological examination, and electroencephalography (EEG), with neuroimaging such as magnetic resonance imaging (MRI) used to identify structural abnormalities. Classification according to seizure type and underlying aetiology genetic, structural, metabolic, immune, infectious, or unknown—guides …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 53–68 Read article
-
Enhancing Maintenance Decision-Making in Thermal Power Plants Using Generative AI-Based Fault Diagnosis
Abstract: The growing complexity of operation and power consumption of thermal power stations involve the need to have intelligent fault diagnosis systems that can be used to guarantee reliability and safety in operation. In this research, a Generative AI (GenAI)-based hybrid architecture of early fault detection and predictive maintenance is proposed to improve the decision-making process of the maintenance team. The data-driven analytic approach combines methods of data-driven analytics, Generative AI …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 25–33 Read article
-
AI-Based Early Diagnosis & Prevention of Diabetes
Abstract: The worldwide burden of Diabetes Mellitus, especially Type 2 diabetes (T2D) has escalated to a critical level. Early detection of diabetes is essential to reduce long‑term complications and healthcare costs. This study explores the use of artificial intelligence (AI) techniques to improve the early diagnosis and prevention of diabetes. We developed an AI model using the Random Forest algorithm, the model predicts diabetes risk based on clinical and lifestyle variables …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
-
Malaria Diagnosis through Conventional Methods: A Comprehensive Review
Abstract: The incidence of drug-resistant parasite strains is rising, there is an apparent increase in the number of cases of malaria worldwide, and in a small number of cases and there has been a dramatic rise in international migration and travel. Over 1 million people die from malaria every year; 90% of these deaths are in African children, who live in tropical and subtropical regions. Although there are now efficient techniques …
Published in International Journal of Pathogens · Vol. 1, Issue 2, 2024 · pp. 8–14 Read article
-
A Knowledge Graph Approach for Breast Cancer Diagnosis and Data Sharing Platform Implementation in the Context of Human Papillomavirus Infection
Abstract: Background: Breast cancer remains among the most prevalent malignancies in women worldwide, and effective diagnosis and data integration continue to challenge clinical practice. Diagnostic reports from mammography and ultrasound contain rich clinical information that is often under-utilised due to heterogeneous formats and limited data-sharing infrastructure. In the context of human papillomavirus (HPV) infection, which may influence oncogenic pathways and data complexity, advanced computational methods offer new solutions to this problem. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
-
Enhancing Cancer Diagnosis: AI/ML Algorithms and Nanotechnology-Based Biosensors for Colorectal Cancer Screening
Abstract: Colorectal cancer (CRC) is one of the most common and deadly cancers worldwide, and enhancing patient outcomes requires early identification. This study explores the potential of nanotechnology- enhanced biosensors and artificial intelligence/machine learning (AI/ML) algorithms to revolutionize colorectal cancer screening and diagnosis. Nanotechnology offers unique opportunities for the development of highly sensitive and specific biosensors capable of detecting cancer biomarkers at an early stage. By incorporating nanomaterials with exceptional optical, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 1, 2024 · pp. 16–28 Read article
-
Revolutionizing Agriculture: Botani Scan’s Deep Learning for Plant Disease Diagnosis
Abstract: Crop disease detection is of key importance because of its role in food safety but infrastructural issues still hamper diagnosis in most regions worldwide. Accurate plant disease identification is essential to secure food, predicting yield decline and managing epidemic outbursts. The advent of digital cameras along with the progress of computer vision technology brings to light the mounting demands for the development of automated disease detection methods in precision agriculture, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 Read article
-
Early Autism Diagnosis: Machine Learning Models and Their Effectiveness
Abstract: Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of ASD detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from Kaggle. Logistic Regression, XG Boost, Random Forest, Decision Tree, and Gradient Boosting were taken into consideration. Other performance …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
-
Stiff Person Syndrome: Advances in Understanding, Diagnosis, and Treatment of a Rare Autoimmune Disorder
Abstract: Stiff Person Syndrome (SPS) is a rare and complex autoimmune neurological disorder characterized by progressive muscle stiffness, rigidity, and painful spasms. This chapter provides a comprehensive overview of SPS, exploring its pathophysiology, clinical presentation, diagnostic challenges, and current treatment approaches. We discuss the latest research findings, including the role of autoantibodies, genetic factors, and environmental triggers in the development of SPS. The chapter examines various diagnostic methods, emphasizing the importance …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 35–43 Read article
-
Alternative Medicine: A Review Article the Lupus Journey from the Diagnosis to Recovery and Beyond
Abstract: Lupus, a chronic autoimmune disease, presents a complex and often volatile journey for patients, from diagnosis to recovery and beyond. The course is usually characterized by periods of acute flare-ups, followed by remissions, with different symptoms affecting different organ systems. This review delves into managing lupus with alternative medicine, highlighting how it can work alongside conventional treatments. It covers topics like diet, herbal remedies, acupuncture, and mind-body practices, all aimed …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 1, 2025 · pp. 9–18 Read article
-
Psoriasis: Latest Trends in Treatment, Diagnosis and Management in Medical Science
Abstract: Psoriasis is a common chronic inflammatory and autoimmune skin disease that primarily affects the skin. It affects about 2–4% of the world populations. It is clinically characterized by skin rashes, highly inflamed red scale itchy plaque. Abundant therapeutic agents are accessible for the treatment of psoriasis. Wide range of therapeutic mediators such as coal tar, topical corticosteroids, anthralin, retinoid, calcineurin inhibitors, methotrexate, cyclosporine are proven to be effective in treating …
Published in Research and Reviews : A Journal of Biotechnology Read article
-
A Comprehensive Review of Literature on Endometriosis: Pathophysiology, Diagnosis, and Management
Abstract: The endometrium, a tissue that resembles the lining of the uterus, develops outside the uterus in endometriosis, a chronic and frequently painful illness. Other parts of the body may also be affected, however the ovaries, fallopian tubes, and the tissue lining the pelvis are the most frequently affected. Infertility, heavy menstrual flow, and pelvic pain are the main signs of endometriosis, though each person may experience these symptoms to varying …
Published in International Journal of Midwifery Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 1–5 Read article
-
Enhancing Glaucoma Diagnosis with Deep Learning: A Study Using ResNet-50 and DenseNet-121
Abstract: Glaucoma is a leading cause of irreversible blindness worldwide, mainly resulting from progressive optic nerve damage, often related to elevated intraocular pressure. Early detection is essential to prevent vision loss, but traditional diagnostic methods rely on specialized equipment and trained professionals, making large-scale screening difficult. This study uses a publicly available fundus imaging dataset to explore the effectiveness of deep learning models for glaucoma detection. These datasets provide medical images, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 9–18 Read article
-
Comprehensive Review of Adenoid Cystic Carcinoma: Pathogenesis, Diagnosis, and Emerging Therapeutic Approaches
Abstract: Adenoid cystic carcinoma (ACC)is an infrequent neoplasm, highly malignant, that develops mainly in the salivary glands with the potential to exist in any secretory glandular sites, including the lacrimal glands, breast, and respiratory tract. ACC usually has a benign initial course, but conversely, it is notoriously aggressive in behavior with high incidence of perineural invasion, local recurrence, and distant metastasis, mostly to the lungs. The tumor’s molecular features are characterized …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–17 Read article
-
CRISPR, Recombinant DNA, and LAMP-Based Platforms for Monkeypox: Emerging Tools for Diagnosis and Therapeutic Development
Abstract: Monkeypox, a zoonotic viral infection caused by the Monkeypox virus of the Orthopoxvirus genus, has recurred as a worldwide public health concern after recent outbreaks outside of its classical endemic areas in Central and West Africa. The resurgence has demanded a thorough reassessment of its epidemiology, mode of transmission, and clinical presentation. In light of these challenges, recombinant DNA technology (rDNA) has emerged as a candidate for developing vaccines, diagnostics, …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 7–28 Read article
-
Dermatophytoses: Taxonomy, Pathogenesis, Diagnosis, Resistance, and Management.
Abstract: Dermatophytes, belonging to the family Arthrodermataceae, are keratinophilic fungi responsible for superficial mycoses. Dermatophytoses affect the skin, hair, and nails globally. Over the last few years, dermatophytic infections have seen a sharp rise in India, with the main causative agent being antifungal-resistant Trichophyton mentagrophytes genotype VIII. This review provides a detailed overview of dermatophytoses, including taxonomy, pathogenesis, epidemiology, diagnosis, and treatment. Dermatophytes belong to the kingdom Fungi, family Arthrodermataceae, with …
Published in International Journal of Fungi · Vol. 3, Issue 1, 2026 · pp. 28–37 Read article
-
A Review on Diagnosis and Management of Conjunctivitis
Abstract: Conjunctivitis, typically recounted as crimson eye, is a super ocular circumstance affecting men and ladies of all ages. This abstract aims to summarize the findings of a comprehensive study that delves into the pathogenesis, clinical manifestations, and management strategies for conjunctivitis. A multifaceted approach was employed, including a systematic literature review of conjunctivitis-related studies, clinical observations, and interviews with leading ophthalmologists. The various cases were analysed to assess demographic patterns, …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 35–46 Read article
-
Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
-
Development of a Machine Learning and Artificial Intelligence Based Model Aimed at Forecasting the Prognostic Impact of C-Reactive Protein in Myocarditis
Abstract: The specific role of inflammation markers in myocarditis remains uncertain. We investigated the diagnostic and prognostic significance of C-reactive protein (CRP) levels at the initial diagnosis among myocarditis patients. Our retrospective study enrolled patients clinically suspected (CS) or biopsy-proven (BP) with myocarditis, with available CRP data at diagnosis. We collected patient information, including clinical, laboratory, and imaging findings at diagnosis and follow-up visits. We utilized machine learning methods, specifically random …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 12–24 Read article