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837 articles for “Clinical”
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Effect of Local Application of Phenytoin on Wound Healing in Surgical Wounds: A Scientific Review
Abstract: Surgical wound healing is a dynamic biological process influenced by local tissue response, vascularity, infection control, and systemic patient factors. Delayed wound healing contributes significantly to postoperative morbidity and healthcare costs. Phenytoin, a hydantoin derivative traditionally used as an antiepileptic agent, has demonstrated unexpected wound-healing properties when applied topically. This review critically evaluates experimental and clinical evidence regarding the role of locally applied phenytoin in enhancing wound healing in surgical …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 15–19 Read article
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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
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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
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Prime Editing and Base Editing in Human Hematopoietic Stem Cells Toward Scarless Correction of Monogenic Blood Disorders
Abstract: Monogenic hematological disorders – such as sickle cell disease (SCD), β-thalassemia, and X-linked chronic granulomatous disease (X-CGD) – affect >400, 000 newborns worldwide each year, with a considerable burden in low-resource settings . Although donor-derived allogeneic hematopoietic stem-cell transplantation (HSCT) is widely regarded as curative, its application is limited due to issues of donor availability and graft-versus-host disease (GVHD) and conditioning-related toxicity. DSB-based conventional CRISPR-Cas9 strategies are limited by inefficient …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 Read article
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A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Monoclonal antibodies in targeted cancer therapy advances, resistance mechanisms, and next-gen formats (Bispesifics, ADCs)
Abstract: Breast cancer is one of the leading causes of cancer-related morbidity and death worldwide, which emphasizes the need for more effective and focused treatment strategies. antibody-mediated drug delivery techniques. Specifically, antibody–drug conjugates (ADCs) have emerged as a potential approach that combines the specificity of monoclonal antibodies with the potent cytotoxicity of anticancer drugs. By selectively targeting tumor-associated antigens, ADCs enhance drug accumulation within cancer cells while minimizing systemic toxicity associated …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 2, 2026 Read article
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AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 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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Electrochemical Biosensors for Disease Diagnostics
Abstract: Electrochemical biosensors have emerged as one of the most promising tools for disease diagnosis because they combine high sensitivity, rapid response, portability, and low cost in a single analytical platform. In recent years, growing interest in early disease detection has pushed researchers to develop biosensors that can detect clinically important biomarkers in blood, saliva, urine, sweat, and other biological fluids. These sensors work through the interaction between a biological recognition …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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A Comparative Study of the Structure-Property Relationships in CAD/CAM Milled vs. 3D-Printed High-Performance Polymers: Impact of Molecular Orientation on Abrasive Wear
Abstract: Background: The transition from subtractive to additive manufacturing in prosthetic dentistry has introduced significant variations in the macromolecular architecture of high-performance polymers. While CAD/CAM milling utilizes high-density, industrially polymerized blocks, 3D printing (Additive Manufacturing) relies on layer-by-layer deposition, which may induce anisotropic molecular orientation. This retrospective study investigates how these distinct manufacturing "thermal histories" influence the long-term abrasive wear resistance of PEEK and PEKK restorations.Materials and Methods: Data were retrospectively …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Review on Cyperus scariosus: A Potential Medicinal Plant
Abstract: Saad kofi or Cyperus scariosus, known as Nagarmotha in India, is a delicate grass which is an angiosperm belonging to family Cyperaceae. Indian species of this plant is called motha. The best quality of saad is heavy in weight, rough from outside with strong aroma, whitish inside, highly bitter in taste. Its root extracts and volatile oil are used for medicinal purposes. Nagarmotha is also prescribed by local herbal medicine …
Published in Research and Reviews : Journal of Crop science and Technology Read article
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Antifungal Susceptibility Pattern of Candida Species Isolates from Dehradun City Hospitals
Abstract: The present investigation on the topic entitled “Antifungal susceptibility analysis of Candida species isolates from Dehradun City hospital.” was accomplished in the Doon University Microbiology laboratory (P.G.) and Hospital, Dehradun, Uttarakhand, during the period of February 2021 to July 2021. A total of 42 clinical samples were collected from patients, suspected of candidiasis from Dehradun city hospitals. Clinical samples were collected from oral cavity, blood, vaginal fluid and urine of …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 1, 2024 Read article
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A Study to Determine the Impact of a Structure Teaching Program on the Knowledge of Needle Stick Injury Among Hospital Staff Nurses
Abstract: Needle stick injuries occur when needles accidentally puncture the skin, posing a risk to individuals working with hypodermic syringes and other needle equipment, particularly in healthcare settings. These injuries are recognized as occupational hazards in the medical field and raise concerns about the potential transmission of blood-borne illnesses, including hepatitis B virus (HBV), hepatitis C virus (HCV), and human immunodeficiency virus (HIV). Although the immediate physical effects of needle stick …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 2, 2023 Read article
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A Computational Study to Elucidate the Phytochemicals as An Antagonist Against Pruritis in Psoriasis
Abstract: Objective: Psoriasis is a chronic, non-contagious, auto-immune skin disorder that causes inflammation, pain, and itching in the affected areas. The etiology of this condition is not entirely understood, and while there are treatments available to manage the symptoms, there is currently no cure. The Transient receptor potential cation channel, subfamily Vanillin, member 3 (TRPV3), present in keratinocytes, allegedly had a part in the development of psoriasis-related pain and itching. Specifically, …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 1, Issue 2, 2023 · pp. 49–61 Read article
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Management of Rotator Cuff Injury with Physiotherapy in Pre- and Post-surgery: An Overview
Abstract: The likelihood of rotator cuff tears increases with age, with total width tears occurring in roughly 25% of people in their 60s and an extra 50% of people in their 80s. Despite the fact that surgery is considered an active therapy, repeated rips at the inset place are common, particularly during progressive tears, which are common in the elderly population. Physical therapy and exercise therapy are currently receiving more attention …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 6–12 Read article
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Quality of Sleep Among Patients with Chronic Renal Failure
Abstract: Renal failure is the partial or complete impairment of kidney function. Inability to eliminate metabolic waste products and water, along with functional disruptions in all bodily systems, result in the condition known as renal failure. Renal failure can be categorized as either acute or chronic. Chronic renal failure refers to the gradual and irreversible deterioration of the nephrons in both kidneys. It is characterized by either kidney damage or a …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 22–28 Read article
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Understanding Tennis Elbow: Causes, Symptoms, and Available Treatments
Abstract: Tennis Elbow, clinically termed lateral epicondylitis, stands as a prevalent musculoskeletal ailment affecting the outer part of the elbow. Despite its name, this condition isn't exclusive to tennis players; it often arises due to repetitive stress or overuse of the forearm muscles and tendons, leading to micro-tears and inflammation at the elbow's lateral epicondyle. The abstract focuses on elucidating the multifaceted aspects of Tennis Elbow, exploring its causes, symptoms, and …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 1–5 Read article
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Unresolved and misdiagnosed of floating sensation in young man
Abstract: Persistent Postural-Perceptual Dizziness (PPPD) stands out as a prevalent peripheral vestibular disorder, earning its recognition in the International Classification of Vestibular Disorders in 2017. Characterized by chronicity, this condition manifests symptoms persisting for more than three months, encompassing a disconcerting array such as a floating sensation, unsteadiness, and dizziness. Notably, individuals afflicted with PPPD often report symptom exacerbation following prolonged standing, self-initiated motion, or exposure to dynamic visual stimuli. This …
Published in International Journal of Brain Sciences · Vol. 1, Issue 1, 2024 · pp. 1–4 Read article