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177 articles for “Clinical Precision”
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Clone-Specific Drug Delivery Systems: Targeted Approaches and Future Clinical Applications
Abstract: Clone-specific drug delivery systems represent a transformative frontier in personalized medicine, addressing the longstanding challenge of clonal heterogeneity within diseases such as cancer, infectious diseases, and autoimmune disorders. Traditional drug delivery platforms often fail to discriminate between pathogenic and healthy cells, leading to systemic toxicity and reduced therapeutic efficacy. In contrast, clone-specific systems aim to selectively target and eliminate disease-driving cellular clones based on unique molecular signatures, thereby improving treatment …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 21–29 Read article
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Precision Medicine Approaches for Cancer Therapy Recent and Advance
Abstract: Recent advances in biotechnology have made it possible to identify intricate and distinctive biological characteristics linked to carcinogenesis. Proteomic and RNA studies, immunological markers, tumor and cell-free DNA profiling, and other methods are utilized to find these traits in order to optimize anticancer treatment for specific patients. In recent years, the focus of clinical trials has shifted considerably to enhance treatment outcomes in cancer therapy. Rather than being primarily centered …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 1–11 Read article
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Role of W.A.R. Score in Predicting Wound Infection
Abstract: In clinical practice, chronic wounds are a major difficulty that are frequently made worse by the infection risk. However, the lack of precise standards for evaluating the risk of infection and establishing the need for and length of time for systemic antibiotics leads to the overuse and abuse of these drugs, which increases the risk of side effects and the development of antibiotic resistance. To close this gap, the development …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 33–38 Read article
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Reinventing Drug Delivery Through Cutting-Edge Nanotechnology
Abstract: Nanotechnology has emerged as a revolutionary platform in the field of drug delivery, offering novel strategies for the precise, efficient, and controlled delivery of therapeutic agents. The integration of nanocarriers, such as liposomes, polymeric nanoparticles, dendrimers, micelles, and inorganic nanoparticles, has significantly enhanced drug solubility, stability, bioavailability, and targeted delivery to specific tissues or cells. Targeted drug delivery systems based on nanotechnology minimize off-target effects, reduce systemic toxicity, and improve …
Published in Trends in Drug Delivery · Vol. 12, Issue 3, 2025 · pp. 44–61 Read article
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Erythrodermic Psoriasis: A Case Report Highlighting Clinical Features and Management
Abstract: Background: Erythrodermic psoriasis (EP) is a rare and severe variant of psoriasis that presents as widespread erythema, scaling, and systemic complications such as fever, dehydration, and electrolyte imbalances. It requires urgent medical attention due to the risk of life-threatening complications, including sepsis and multi-organ failure. The condition can arise de novo or as an exacerbation of pre-existing psoriasis, often triggered by medication withdrawal, infections, or systemic inflammation. Case Presentation: We …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 01–05 Read article
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Gold Nanoparticle Size, Biodistribution, and Toxicity: Insights from DualEnergy CT
Abstract: Dual-energy and spectral computed tomography (CT) have emerged as powerful platforms for noninvasive, quantitative mapping of nanoparticle biodistribution in vivo. By exploiting the energy-dependent attenuation profiles of high-atomic-number (high-Z) materials, these systems enable material decomposition and element-specific imaging, thereby distinguishing nanoparticle signals from those of soft tissues and conventional iodinated contrast agents. Photon-counting spectral CT further enhances this capability by binning individual photons into multiple energy channels, improving spatial resolution, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Extracellular Vesicle-Based Liquid Biopsies: Decoding the Tumor Microenvironment for Precision Oncology
Abstract: The tumor microenvironment (TME) plays a pivotal role in cancer initiation, progression, and therapeutic response. Decoding the TME is, therefore, essential for advancing precision oncology. Extracellular vesicles (EVs), including exosomes and microvesicles, are nanoscale lipid bilayer particles secreted by tumor and stromal cells. They transport a wide range of bioactive molecules, such as DNA, RNA, proteins, lipids, and metabolites, which reflect the dynamic state of the TME. Recent advances in …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 43–62 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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Neuroimaging in Clinical Trials for Huntington’s Disease: Emerging Research Findings: The Advancement Directions and Implications
Abstract: Neuroimaging is very important in coordinating and conducting Huntington’s disease clinical trials as a tool in selecting patients, managing safety concerns, and assessing the benefits of interventions. This review presents the current uses and potential future uses of structural and functional magnetic resonance imaging (MRI), diffusion imaging, positron emission tomography (PET), proton magnetic resonance spectroscopy (MRS), perfusion imaging, and magneto encephalography (MEG) in HD trials. We describe how these modalities …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 32–44 Read article
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Green Synthesis of Copper Nanoparticle for the Treatment of Neurodegenerative Disease
Abstract: The study of ecologically friendly CuNP synthesis is a growing area with potential applications in biomedical research and environmental remediation, as well as sustainable nanotechnology. Generally, reducing, and stabilizing agents such as microbes, plant extracts, or other natural sources are used. The green synthesis methodology guarantees the production of nanoparticles with desired characteristics for biomedical applications while simultaneously mitigating the environmental effect that comes with conventional chemical processes. CuNPs possess …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 13–24 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
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Deep Learning -Based Dental Issue Detection
Abstract: Dentistry is vital for preserving oral health, a key component of overall wellness. Early identification of dental issues is crucial for effective treatment and avoiding further complications. Conventional approaches to diagnosing dental problems typically depend on physical examinations and visual assessments by skilled professionals, which can be both time-intensive and influenced by individual judgment.In recent years, the application of deep learning algorithms has demonstrated significant potential in automating and enhancing …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 1, 2025 · pp. 18–23 Read article
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Advanced Polymer Composites for Dental Applications: A Study on Twin Wire Tucker Mechanism
Abstract: This study explores the development of advanced polymer composites for dental applications, particularly focusing on the twin wire tucker mechanism. The study investigates the polymer chemistry underlying the mechanical properties of polymer-based dental instruments, emphasizing the stability, flexibility, and ergonomic benefits of polymer composites in orthodontic applications. The incorporation of reinforced polymers into dental instruments aims to enhance performance, durability, and patient comfort. By integrating high-strength polymers with superior biocompatibility, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 1–6 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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A Comprehensive Review of Forensic Medicine: Its Evolution, Scope, Applications, and Future Directions
Abstract: Forensic medicine, a key junction of medical and law, has evolved substantially throughout the centuries, responding to scientific and technological advances. Forensic medicine, derived from the Latin term forensis, meaning “before the forum,” has evolved significantly over the centuries from rudimentary methods of determining the cause of death to a sophisticated and highly specialized medical discipline. Today, it encompasses a wide range of fields, including clinical forensic medicine, forensic pathology, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 18–28 Read article
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What Nurses Should Know About New Ways to Treat Muscle Pain
Abstract: Muscle discomfort is a common clinical concern that can significantly limit mobility, functional ability, and overall quality of life. Recent advancements in assessment and management strategies have enabled nurses to deliver more precise, evidence-based care for patients experiencing muscular pain. Emerging diagnostic approaches now include enhanced screening scales that offer greater sensitivity in identifying pain patterns, as well as digital monitoring tools that allow continuous evaluation of symptoms across care …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 12–17 Read article
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Innovative Vaccine Technologies: Current Landscape and Future Prospects in Preventive Medicine
Abstract: This review article presents a comprehensive analysis of recent advancements and emerging trends in vaccine development, offering insights into the dynamic landscape of preventive medicine. Delving into a spectrum of infectious diseases, including influenza, HIV/AIDS, malaria, tuberculosis, respiratory syncytial virus (RSV), Group B Streptococcus (GBS), norovirus, and chikungunya, the review highlights innovative approaches and breakthroughs in vaccine technology. It explores efforts to develop universal influenza vaccines, long-awaited HIV vaccines, and …
Published in International Journal of Vaccines · Vol. 1, Issue 2, 2024 · pp. 07–15 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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Advancing Brain Tumor MRI Segmentation
Abstract: Segmentation of brain tumors in MRI scans is an integral part of neuroimaging carried out for diagnostic and therapeutic interventions. Given that manual segmentation is cumbersome and highly variable, there arises a need for automated, more precise segmentation solutions. This project, ‘Machine Learning and Deep Neural Networks to Advance Brain Tumor MRI Segmentation’ will develop a better, efficient, and accurate segmentation model to help clinicians identify brain tumors with greater …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 28–33 Read article