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474 articles for “Clinical studies”
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Path Lab-AI: An Autonomous Framework for Error-Free Histopathology Slide Interpretation
Abstract: Path Lab-AI represents a fully autonomous platform for the analysis of histopathology slides with circumscribed structures, designed to obtain highly accurate results using diagnostic methods and avoiding the usual limitations of standard microscopy-based pathology. Leveraging recent deep learning and whole slide image (WSI) analysis innovations, our system takes advantage of automated WSI ingestion along with pre-processing steps to account for staining variability, remove artifacts, and localize tissue from background. Such …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 19–30 Read article
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Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Targeting TNFSF4 in the Management of Systemic Lupus Erythematosus
Abstract: Systemic lupus erythematosus (SLE) is a multifaceted autoimmune disorder that remains a significant challenge for both healthcare providers and researchers. Despite advances in understanding its mechanisms, finding effective therapies is still difficult. This review highlights a potential therapeutic target in SLE research: tumor necrosis factor superfamily member 4 (TNFSF4), also referred to as OX40L. We explore how TNFSF4 contributes to SLE development, looking at its role in immune system regulation …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 6–14 Read article
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Uttarabasti in Female Infertility: A Retrospective Analysis of Clinical Outcomes and Safety Profile
Abstract: Background: Uttarabasti (UB) is a specialized Panchakarma procedure involving intrauterine instillation of medicated Sneha, classically indicated in Yonivyapad and Vandhyatwa. It facilitates targeted local drug delivery, bypassing gastrointestinal metabolism and enabling direct therapeutic action at the uterine level. In Ayurvedic understanding, UB achieves Garbhashaya Shuddhi and Apana Vata Anulomana — the two primary pathological corrections considered essential in Vandhyatwa. Infertility affects an estimated 10–15% of couples globally, with a substantial …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 13, Issue 2, 2026 Read article
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Exploring the Pathophysiology of Henoch-Schönlein Purpura (HSP): A Comprehensive Review
Abstract: Blood from tiny veins can leak into nearby tissues, causing purpura, a disorder marked by red spots or patches on the skin that may have an impact on the kidneys. Henoch-Schönlein purpura (HSP) is associated with vasculitis and inflammation of blood vessels. The range of renal conditions associated with purpura includes severe glomerulonephritis and mild proteinuria. For instance, immunological complex accumulation in the renal glomeruli of HSP patients might result …
Published in International Journal of Cell Biology and Cellular Functions Read article
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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
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The Parasitic Fingerprint: Tracing Infection to Host Illness
Abstract: Parasitic infections remain a major global health burden, causing significant morbidity and mortality, particularly in tropical and subtropical regions. A critical aspect of disease pathogenesis is the unique molecular and cellular imprint left by parasites in their hosts, termed the “parasitic fingerprint.” These fingerprints encompass parasite-derived proteins, nucleic acids, metabolites, extracellular vesicles, and host responses, including gene expression changes, cytokine profiles, and metabolic adaptations. Advances in multi-omics technologies, which integrate …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 29–50 Read article
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Horizons in Neuralgia Care: Addressing Unmet Needs and Future Prospects
Abstract: Neuralgia refers to intense, sharp, and often chronic pain resulting from damage or irritation to nerves. It is typically characterized by sudden, shooting pain along the course of a nerve, significantly impairing daily functioning and impacting both physical and emotional well-being. Given its intensity and chronic nature, neuralgia presents a complex challenge in clinical management, emphasizing the importance of timely diagnosis and effective intervention to improve patient outcomes. This comprehensive …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 1–8 Read article
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A Study on Heavy Metal Contamination in Workers Handling Electronic Waste in North India
Abstract: Background E-waste contains hazardous substances like leads, cadmium, mercury, and arsenic which can be harmful for informal workers and recyclers. In North India, one finds an informal sector of e-waste workers who work in extremely micro-manageable conditions with lack of order policy and protective equipment. This study explores the processes and cavities of heavy metals as well as assessing the knowledge, safety measures, and health symptoms of the reclaimers. Objectives …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 2, 2025 Read article
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Emerging Therapies for Diabetes Mellitus: Efficacy and Safety of USFDA-Approved Drugs and Late-Stage Clinical Trials
Abstract: This review provides a comprehensive analysis of drugs approved by the U.S. Food and Drug Administration (USFDA) for managing diabetes mellitus (DM) from 2013 to 2022, including emerging treatments from phase 3 clinical trials during this period. Over the past decade, the treatment landscape for diabetes has evolved significantly, with new therapies not only improving blood sugar control but also targeting broader health outcomes like heart and kidney health. In …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 2, 2025 · pp. 11–23 Read article
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Gene prioritization of colorectal cancer using computational approach
Abstract: Colorectal cancer (CRC) continues to be a major worldwide health issue, underscoring the need to pinpoint crucial genetic elements influencing its initiation and advancement. In this investigation, we utilize sophisticated computational methods to prioritize potential genes linked to CRC development. Through the utilization of various bioinformatics tools and comprehensive methodologies, we systematically examine extensive microarray datasets to identify potential genetic contributors. Initially, a vast amount of CRC microarray data (approximately …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 39–52 Read article
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CB₁ Reverse Agonists: A Cheminformatic and Patent Landscape Study
Abstract: The endocannabinoid system plays a crucial role in numerous physiological functions, making cannabinoid receptor 1 (CB1) an attractive target for therapeutic development. This review provides a systematic analysis of patent filings from 2019 to 2023 that focus on small-molecule CB1 reverse agonists. It begins with an overview of the endocannabinoid system, highlighting CB1’s involvement in energy balance, pain regulation, and neuroinflammatory processes The main section of the review examines fifteen …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 33–36 Read article
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A Review on Lung Cancer Prediction Using Machine Learning
Abstract: Lung cancer continues to be a major contributor to cancer-related mortality across the globe. Timely diagnosis and reliable prediction models play a crucial role in enhancing treatment outcomes and survival rates for patients. The present study focuses on the utilization of machine learning (ML) methods for the prediction of lung cancer. Using datasets that incorporate clinical records, imaging modalities, and genetic profiles, the research assesses the predictive capabilities of multiple …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–11 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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An Insightful Study on SMEDDS Challenges and Potential Strategies
Abstract: Self-microemulsifying drug delivery systems (SMEDDS) have gained attention as an effective approach to enhance the bioavailability of poorly water-soluble drugs. They are innovative lipid-based formulations designed to enhance the solubility, bioavailability, and therapeutic efficacy of poorly water-soluble drugs. The development of SMEDDS involves systematic selection of components based on solubility and emulsification efficiency, followed by optimization of ratios using pseudo-ternary phase diagrams. The resulting formulations are evaluated for droplet size, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 311–334 Read article
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Ruesi Datton: Exploring the Ancient Wisdom and Modern Applications of Thai Yoga
Abstract: Ruesi Datton, often referred to as Thai Yoga, is a traditional Thai practice with deep cultural and therapeutic significance. Rooted in Thai Buddhist and monastic traditions, it combines stretching, self-massage, breath control, and meditation to promote holistic well-being. Unlike other forms of yoga, Ruesi Datton emphasizes self-care through its simple, accessible techniques, making it suitable for all ages and physical conditions. This review explores the philosophical foundations, practical techniques, and …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 42–46 Read article
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Challenges to Women's Adoption of the Human Papillomavirus Vaccine in India: An Updated Review
Abstract: The widespread availability of human papillomavirus (HPV) vaccines in some countries throughout the last ten years has demonstrated encouraging outcomes in reducing HPV infection and associated conditions including warts and precancerous lesions. We highlight vaccination coverage and efficacy in this study, which includes the most recent data on available HPV vaccinations. Furthermore, the topic of pan-gender immunisation and ongoing clinical trials is covered. Increasing vaccination coverage is now something that …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 21–30 Read article
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The Role of Tobacco Consumption in Oral Cancer Incidence in Punjab and Haryana
Abstract: Background: Oral cancer is one of the most common types of cancer in India, especially in the northern regions, like the states of Punjab and Haryana, where the prevalence of tobacco consumption, smoking, and smokeless forms, is high. Nevertheless, the specific contribution of different types of tobacco and other risk factors related to oral cancer occurrence in these populations has been poorly investigated. The purpose of this investigation is to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Potential Implication of Ayurveda in Hemiplegia: A Case Study
Abstract: Introduction: The most prevalent condition, hemiplegia, is caused by a stroke that results in a neurological deficiency affecting one or both sides of the body, affecting the face, upper and lower limbs, and trunk. Due to similarities in clinical signs and symptoms, this illness and Pakshaghata in Ayurveda can be compared. According to Acharya Charaka, it is a Vatavyadhi, meaning that the pathophysiology of the condition involves vitiated Vata Dosha. …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 37–41 Read article
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Patterns and Variations in Complementary Feeding Practices Among Mothers of Children Aged 6–24 Months Attending Immunization Clinics in Mandi Gobindgarh, Punjab, India
Abstract: Introduction: Complementary feeding introduces solid or semisolid foods to an infant’s diet while breastfeeding. In India, feeding infants and young children is determined by their socioeconomic status, cultural practices, and healthcare access. The study assesses the feeding practices of mothers with children aged 6–24 months who come for immunization at Mandi Gobindgarh, Punjab. Methods: A cross-sectional study was conducted with 350 mothers selected through systematic random sampling. A structured questionnaire …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 3, 2025 · pp. 43–53 Read article