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177 articles for “Clinical Precision”
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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Exploring the Intersection of AI Network Pharmacology and Ayurveda: Innovations in Traditional Medicine
Abstract: Integrative frameworks that integrate traditional medicine and modern computer research are increasingly important for advancing evidence-based, individualized healthcare. One interesting strategy is the combination of Ayurveda, network pharmacology, and artificial intelligence (AI). AI expands the capability by allowing for the quick analysis of biomedical big data, the identification of therapeutic trends, and the optimization of treatment plans. Ayurveda, with its long-standing emphasis on individualized care, holistic balance, and natural remedies, …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 92–98 Read article
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Next-Generation mRNA Vaccines: Applications Beyond COVID-19
Abstract: Messenger RNA (mRNA) vaccine technology has become a paradigm shift in contemporary medicine and, with remarkable success in the COVID-19 pandemic, has opened the door to a new wave of vaccines development. In contrast to the traditional vaccine methods, mRNA vaccines are based on the synthetic genetic code that allows host cells to express target antigens, thus eliciting strong humoral and cellular immunity. The speed of development, efficacy, scalability of …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 · pp. 15–26 Read article
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Development of a Novel Therapeutic Approach Using RNA Interference for Targeting Viral Genes
Abstract: RNA interference (RNAi) is a ground breaking therapeutic strategy that holds immense promise for targeting viral genes in the treatment of viral infections. This approach leverages the natural gene-silencing mechanisms of RNAi to inhibit viral replication and expression at the molecular level, providing a precise and adaptable method to counteract viral pathogens, including influenza, HIV, and hepatitis viruses. Recent advancements in RNAi technology have enabled the development of highly specific …
Published in International Journal of Virus Studies · Vol. 1, Issue 2, 2024 · pp. 12–22 Read article
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A Review of Literature on Breast Cancer: Molecular Insights, Clinical Approaches, and Future Perspectives
Abstract: Breast cancer is the leading cause of morbidity and mortality in women globally. Although both men and women can get the condition, women are more likely to get it, and its prevalence has been rising globally in recent years. The epidemiology, risk factors, pathophysiology, diagnosis, treatment options, and survival rates of breast cancer are all examined in this review of recent research. Breast cancer can show up as a lump …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 15–20 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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Graphene-Polymer Nanocomposites for Drug Delivery Applications
Abstract: Graphene-polymer nanocomposites (GPNCs) have gained significant attention in drug delivery due to their exceptional physicochemical properties, including high surface area, mechanical strength, tunable functionality, and biocompatibility. These nanocomposites integrate graphene derivatives, such as graphene oxide (GO) and reduced graphene oxide (rGO), with biocompatible polymers to enhance drug loading efficiency, stability, and controlled release. Various natural (chitosan, alginate) and synthetic (PLGA, PEG, PCL) polymers are used to functionalize graphene, enabling targeted …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 362–374 Read article
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Immune Dysregulation and Cytokine Circuitry in Genital Endometriosis: Mechanistic Insights and Next-Generation Immunotherapeutic Strategies
Abstract: Genital endometriosis is increasingly recognized as an immune-mediated inflammatory disorder driven by complex interactions between dysregulated immune cells, cytokine hubs, and microbiome-derived modulators. This review introduces a novel “immune–cytokine circuitry” framework that unifies innate and adaptive immune abnormalities with key cytokine loops sustaining chronic inflammation, angiogenesis, neuroinflammation, and immune tolerance. Within this circuitry, macrophage polarization, dendritic cell immaturity, NK-cell anergy, Treg expansion, Th17 amplification, and B-cell–mediated autoimmunity converge to establish …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 06–16 Read article
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Revolutionizing Artificial Organs: Next-Generation Membrane Technologies for Precision Medicine and Global Health
Abstract: Membrane technology has emerged as a cornerstone in the advancement of artificial organ systems, offering critical functionalities in selective molecular filtration, tissue scaffolding, and controlled therapeutic delivery. Recent innovations have propelled the field beyond traditional polymeric membranes to include nanostructured, biomimetic, and stimuli-responsive materials, significantly enhancing biocompatibility, selectivity, and durability. The integration of smart technologies, such as AI-driven membrane design, bioelectronic sensors, and personalized fabrication via 3D printing, is ushering …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 29–39 Read article
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AI in Healthcare: Drug Delivery in Tuberculosis
Abstract: Tuberculosis (TB) , mainly caused by Mycobacterium tuberculosis, remains a major global health burden, accounting for millions of new infections and deaths each year. Although progress has been made in diagnosis and treatment, the growing threat of multidrug-resistant (MDR) and extensively drug-resistant (XDR) TB makes disease control increasingly difficult. Conventional diagnostic approaches such as chest X-rays, sputum smear microscopy, and culture methods continue to play an important role, but they …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 9–17 Read article
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Revolutionizing oncology - role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review
Abstract: Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 18–22 Read article
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Integrating Advanced Technologies for the Scientific Revalidation of Ayurvedic Principles
Abstract: Background: Ayurveda, a 5,000-year-old holistic healthcare system, emphasizes the dynamic balance of body, mind, and spirit. Recent advancements in science and technology have accelerated its integration into global healthcare systems. Objective: This paper explores the contribution of modern tools and methodologies to the scientific validation and enhancement of Ayurvedic principles across education, clinical practice, and research. Methods: A comprehensive literature review was conducted using databases like PubMed, Google Scholar, and …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 1, 2026 · pp. 1–6 Read article
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Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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A Brief Review On Nanoparticles Drug Delivery System Used In Cervical Cancer
Abstract: Among cervical tumor-related deaths worldwide, cervical cancer is a major cause. The limitations of traditional methods, such as chemotherapy and radiation therapy, stem from their adverse effects and increased susceptibility to medications. Despite being seen as innovative options, immune checkpoint inhibitors (ICIs) have rather low clinical response rates. Reliable treatments for patients with metastatic or recurring cervical cancer are currently lacking. Lately, nanomaterials including polymers, liposomes, and dendrimers have been …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 30–40 Read article
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Advancing Gene Therapy: Next-Generation Viral Vector Engineering for Precision, Safety, and Scalability
Abstract: Gene therapy has emerged as a paradigm-shifting modality for the treatment of genetic disorders, malignancies, and rare diseases through the delivery of therapeutic nucleic acids aimed at correcting or modulating dysfunctional gene expression. Among the various delivery systems, viral vectors including adeno-associated viruses (AAVs), lentiviruses, adenoviruses, retroviruses, and herpes simplex viruses have proven indispensable owing to their high transduction efficiencies and adaptability. This review offers a comprehensive assessment of viral …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 37–55 Read article
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Development and Fabrication of Biohydrogel for Targeted Delivery of Delafloxacin for Bacterial Skin Infections
Abstract: The escalating challenge of bacterial resistance necessitates innovative drug delivery systems to enhance the efficacy of antibiotics. This study focuses on the development and optimization of a biohydrogel formulation for the targeted delivery of Delafloxacin, aiming to improve its therapeutic outcomes against resistant bacterial strains. Utilizing a 3² factorial design, biohydrogel formulations incorporating Poly(N-isopropylacrylamide) (PNIPAM) and Genipin were synthesized. The optimization process was guided by Design Expert software, focusing on …
Published in Research & Reviews: A Journal of Drug Design & Discovery Read article
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Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite- Based Biomedical Diagnostic Devices
Abstract: Accurate quantification of blood cells is central to clinical decision-making and to the performance of emerging polymer composite–based diagnostic platforms. This work presents a cost-effective, image-processing pipeline for automated counting of red blood cells (including overlapping cells), white blood cells, and platelets from Leishman-stained peripheral blood smears, and articulates its relevance to polymer composite microfluidic and biosensor devices. Implemented in Python with OpenCV, the workflow performs grayscale conversion, median/Gaussian denoising, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 262–270 Read article
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Tiny Titans: The Promise of E-Nanorobots in the Fight Against Cancer
Abstract: Cancer, a disease characterized by uncontrolled cell growth, continues to be a leading cause of mortality worldwide. Despite advances in surgery, radiation, and chemotherapy, significant challenges remain in achieving targeted and effective treatments without harmful side effects. But what if we could deploy microscopic robots, engineered at the nanoscale, to precisely target and destroy cancerous cells while leaving healthy tissue untouched. The fascinating possibilities of e-nanorobots are driving extensive research …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 11–21 Read article
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Biomarkers in Cancer Research: Discovery and Future Directions
Abstract: Biomarkers have transformed the study of cancer, providing critical information regarding prognosis and therapy response and promoting earlier diagnosis. This paper discusses the different parts of cancer biomarkers, starting with their description, classification, and major types, which are the groundwork for understanding their clinical role. The discussion on the development and validation process of biomarkers is then undertaken, focusing on state-of-the-art techniques and the importance of ensuring accuracy and reproducibility. …
Published in Trends in Drug Delivery · Vol. 12, Issue 1, 2025 · pp. 22–26 Read article
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Role of Therapeutic Index for Local Infections Score in Wound Assessment
Abstract: Local wound infections pose a significant challenge, often detected later, leading to complications like systemic infections. Global nomenclature lacks uniformity, resulting in varied treatments for similar diagnoses. Early intervention is crucial, advocating for local antimicrobial therapy with diverse active agents to avoid systemic antibiotics and mitigate bacterial resistance. The Therapeutic Index for Local Infections (TILI) score, innovated by the German society Initiative Chronis Che Wenden (ICW), emerges as a pivotal …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 44–48 Read article