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28 articles for “disease detection”
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A Comprehensive Review on Federated Learning in Disease Detection
Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 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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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
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Antimicrobial Resistance and AI-Based Strategies for Rapid Pathogen Detection
Abstract: Antimicrobial resistance (AMR) has become a major global health threat, significantly reducing the effectiveness of antimicrobial therapies and increasing the burden of infectious diseases worldwide. The rapid emergence of multidrug-resistant pathogens has created an urgent need for faster, more accurate, and scalable diagnostic approaches to support timely treatment and effective infection control. Artificial intelligence (AI) has emerged as a promising technology capable of transforming pathogen detection and AMR surveillance through …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
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Common Diseases of Silkworm and Their Management – A Comprehensive Overview
Abstract: Silkworms (Bombyxmori L.), pivotal to the sericulture industry, are susceptible to various diseases that significantly impact cocoon production and quality. Common silkworm diseases include viral, bacterial, fungal, and protozoan infections. Prominent viral diseases, such as nuclear polyhedrosis (NPV) and cytoplasmic polyhedrosis (CPV) often cause mass mortality in larvae. Bacterial diseases, like flacherie, are typically induced by poor hygiene and environmental stress. Fungal infections, including muscardine caused by Beauveria bassiana, proliferate …
Published in International Journal of Insects · Vol. 2, Issue 1, 2025 · pp. 22–28 Read article
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A Concentrated Review of Current Developments in the Diagnosis and Treatment of Viral Mumps
Abstract: Viral mumps, caused by the mumps virus, continues to pose public health challenges globally despite the availability of vaccines. Considerable advancements have been achieved in the last few years about the pathophysiology, diagnosis, and management of viral mumps. This focused review aims to highlight the latest advances in the diagnosis and treatment of viral mumps, with a particular emphasis on innovative strategies and emerging therapies. Key topics covered include the …
Published in International Journal of Tropical Medicines · Vol. 1, Issue 1, 2024 · pp. 01–07 Read article
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Drug Induced Immune Mediated Nephritis: Molecular Mechanism , Pathways and Clinical Implications
Abstract: Drug-induced immune-mediated nephritis (DI-IMN) has become a more widely known cause of acute kidney injury (AKI), with the potential for development to chronic kidney disease if not detected and treated promptly. T-cell hypersensitivity to pharmaceuticals, such as antibiotics, proton pump inhibitors, nonsteroidal anti-inflammatory drugs, and immunological drugs, are the major causes for it. Beyond clinical burden, DI-IMN reflectsintricate molecular interactions that sustain interstitial inflammation and tubular injury. These interactions include …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 13–29 Read article
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Fungi in the Global Bioeconomy: Harnessing the R Potential Across Agriculture, Medicine, Industry, and Environmental Sustainability
Abstract: One of the most diverse and functionally versatile groups of living organisms, fungi has played a significant role in maintaining ecological balance, human well-being, agricultural production, and industrial processes. Despite their vast potential, the use of fungi systems in solving some of the most serious challenges facing the world today, such as climate change, food security, and AMR, is still in its infancy. New developments in genomics, biotechnology, and systems …
Published in International Journal of Fungi · Vol. 3, Issue 1, 2026 · pp. 20–27 Read article
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Editorial: Advancements in Movement Analysis for Understanding Neurological Disorders
Abstract: Neurological disorders pose a significant challenge, demanding innovative approaches for accurate diagnosis, effective treatment, and deeper understanding. Movement analysis emerges as a powerful tool, offering a quantitative window into the complexities of motor function. This editorial delves into the transformative impact of movement analysis on neurological research and clinical practice. Traditional diagnostic methods, reliant on subjective observations, often miss subtle motor impairments, particularly in early disease stages. Movement analysis tackles …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 28–32 Read article
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Progression of Health and Wellness: Artificial Intelligence (AI) and Deep Learning (DL) for Precision Medicines
Abstract: Deep learning and artificial intelligence in the field of precision medicine is revolutionizing healthcare to make personalized therapeutic approaches desirable based on the unique characteristics of the patient. AI technologies improve diagnostic accuracy by analyzing medical data, spotting patterns and anomalies that human experts may miss. AI-driven models are instrumental in precision medicine, where they can predict patient response to therapies to tailor treatment plans, enhancing outcomes and reducing adverse …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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Dengue in India : Insights in the Indian Context
Abstract: The mitigation of infectious diseases in India, notably Dengue, assumes pivotal importance due to their significant repercussions on human and animal health, thereby imposing a considerable burden on the healthcare infrastructure. This review underscores the ongoing initiatives in infectious disease management, endorsing the implementation of a comprehensive healthcare strategy. Emphasis is placed on the augmentation of reporting mechanisms through the integration of IgM detection kits, advocating for heightened investments in …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 10–13 Read article
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Epidemiology and transmission of infectious diseases study using Machine learning
Abstract: Infectious diseases remain a formidable global health challenge, characterized by rapid evolution and complex transmission dynamics that often outpace traditional epidemiological surveillance and response mechanisms. This study investigates the transformative potential of machine learning (ML) methodologies to enhance our understanding and prediction of infectious disease epidemiology and transmission. Leveraging diverse datasets—including clinical records, genomic sequences, environmental factors, social mobility data, and real-time digital footprints—we studies and presented various ML models …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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Tropical Medicine and Leishmaniasis: Unraveling the Complexities of a Neglected Tropical Disease
Abstract: Protozoan parasites of the genus Leishmania are the cause of the vector-borne disease leishmaniasis, which poses a serious threat to global public health in tropical and subtropical areas. Despite being common and having a significant effect on human health, leishmaniasis is still a neglected tropical disease, with little funding available for investigation and prevention. This article examines the relationship between leishmaniasis and tropical medicine, emphasizing the particular difficulties this intricate …
Published in International Journal of Tropical Medicines · Vol. 1, Issue 2, 2024 · pp. 29–39 Read article
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Typhoid Fever: Etiology, Clinical Manifestations, Diagnosis, and Management
Abstract: Typhoid fever is a systemic and potentially life-threatening infectious disease caused by Salmonella enterica serotype Typhi, which primarily spreads through the fecal-oral route via ingestion of contaminated food and water. It continues to be a major global public health concern, particularly in developing and low-resource countries where poor sanitation, inadequate personal hygiene, and unsafe water supplies prevail. The disease is characterized by prolonged high-grade fever, abdominal discomfort, headache, loss of …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article
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Live Epidemiological Tracking of COVID-19 in Senegalese Participants of the Hajj
Abstract: Background: Since the COVID-19 outbreak, global efforts have focused on controlling the disease. However, intense cross border movements pose a risk for the emergence of new SARS-CoV-2 strains. A recent example is the detection of cases among the 2024 Senegalese pilgrims returning from Mecca, Saudi Arabia. Investigations of these cases have revealed genomic evolution of the virus. The lack of surveillance may lead to the emergence of high-threat strains. This …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 2, 2025 · pp. 8–16 Read article
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Unmasking Human Metapneumovirus: The Emerging Threat to Vulnerable Populations
Abstract: Human Metapneumovirus (HMPV) is a contagious respiratory virus that commonly spreads among individuals. It can cause serious infections, especially in high-risk groups like infants, older adults, and individuals with weakened immune systems.It is a major contributor to acute respiratory illnesses. Since its discovery in 2001, HMPV has been identified as a common cause of both upper and lower respiratory tract illnesses, with clinical presentations ranging from mild symptoms to severe …
Published in International Journal of Virus Studies · Vol. 2, Issue 1, 2025 · pp. 16–24 Read article
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HPV and Cardiovascular Risk: Unpacking a Novel Link Between Viral Infection and Heart Disease
Abstract: Human papillomavirus (HPV) is best known for its oncogenic potential, yet a growing body of evidence suggests that persistent HPV infection may also contribute to cardiovascular disease (CVD). In 2025, pooled analyses and conference reports galvanized attention by estimating that HPV‐positive individuals have ~40% higher risk of CVD and approximately double the risk of coronary artery disease (CAD) compared with HPV‐negative peers, even after adjustment for traditional risk factors. These …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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Genomic Characterization of Emerging Arboviruses in Rural India
Abstract: Arboviruses (arthropod-borne viruses) represent a rapidly evolving group of pathogens responsible for significant morbidity and mortality, particularly in tropical and subtropical regions. Rural India, characterized by dense vector populations, changing ecological patterns, and limited healthcare infrastructure, has become a hotspot for the emergence and re-emergence of arboviral diseases such as dengue, chikungunya, Japanese encephalitis, and more recently, Zika virus infections. Advances in genomic technologies, including next-generation sequencing (NGS), metagenomics, and …
Published in International Journal of Pathogens · Vol. 3, Issue 2, 2026 · pp. 1–8 Read article
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Detection of Pneumonia in COVID-19 Patients Using X-ray Images
Abstract: This study explores the use of chest X-ray image analysis and deep learning methods to identify pneumonia in COVID-19 patients. Due to the pandemic, Proper as well as immediate examination of COVID-19 is now essential for patient care and disease control. This study proposes a novel approach that uses convolutional neural networks (CNNs) to automatically predict pneumonia in COVID-19 patients using chest X-ray images. In this study, an X-ray of …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2024 · pp. 13–23 Read article
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A Narrative Review on Osteogenesis Imperfecta and Its Management
Abstract: Osteogenesis imperfecta (OI), sometimes referred to as brittle bone disease, is a heterogeneous illness characterized by short stature, several fractures, and distorted bones. The main contributing factor to OI is mutations in the genes needed to produce type 1 collagen. While severe OI is perinatally fatal, mild OI can occasionally not be detected until maturity. The frequency of Osteogenesis imperfecta ranges from about 1:15,000 to 1:20,000 births. Five kinds of …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article