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128 articles for “clinical efficiency”
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Diabetes Risk & Al Nutrition Assistant
Abstract: The rising prevalence of diabetes mellitus has emerged as a major global health challenge. Early identification of individuals at risk, combined with personalized lifestyle-based interventions, can significantly reduce future complications. This study presents an AI-driven Nutrition Assistant integrated with a Diabetes Risk Prediction model. The system uses a machine learning classification approach to estimate the likelihood of diabetes based on clinical and nutritional factors, including body mass index, glucose levels, …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article
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Role of Fluid Engineering in Biomedical and Healthcare Systems: A Comprehensive Review
Abstract: Fluid engineering — the study and application of fluid behavior, transport, and interaction — has become a cornerstone of modern biomedical and healthcare systems. This review synthesizes the multifaceted roles fluid engineering plays across diagnostics, therapeutics, biomedical devices, and physiological modeling. Micro-fluidics enables precise manipulation of microliter and nanoliter volumes, facilitating rapid point-of-care diagnostics, high-throughput screening, and the fabrication of uniform nano particles for targeted drug delivery. In cardiovascular medicine, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Pneumonia Detection and Classification Using Deep Learning
Abstract: Pneumonia, an infectious lung disease primarily caused by bacteria, often exacerbated by environmental factors, leads to the accumulation of pus in the lung’s alveoli. Accurate diagnosis through chest X-rays, ultrasounds, or lung biopsies is crucial to avoid misdiagnosis and ensure proper treatment, crucial for patients’ quality of life. Diagnostic capacities have been greatly improved by deep learning advances, especially with convolutional neural networks (CNNs). This research presents a robust CNN-based …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 9–19 Read article
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Scaling of Machine Learning Techniques in Medical Imagining and Biomedical Applications Concerning Healthcare
Abstract: Machine learning refers to a field within computer science enabling computers to learn without explicit programming. Stemming from artificial intelligence's study of pattern recognition and computational learning theory, machine learning develops algorithms capable of learning from vast datasets and making predictions. Its applications span diverse computing tasks like email filtering, network intrusion detection, optical character recognition, and computer vision, where conventional algorithm design proves challenging. Notably, in computer vision, a …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 41–44 Read article
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AI Adoption in Medical Libraries: A Study on SDMH’s Use of Ovid Discovery AI and Its Impact on Evidence-Based Medicine
Abstract: The role of Artificial Intelligence (AI) in transforming medical libraries is increasingly significant as these libraries evolve to become intelligent, responsive hubs for knowledge dissemination. This paper explores the adoption of AI tools at Santokba Durlabhji Memorial Hospital (SDMH) Medical Library, focusing on the integration of Ovid Discovery AI, a cutting-edge tool designed to enhance literature search accuracy, summarize content, and provide context-aware recommendations. Using a mixed-methods approach, the study …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 1–9 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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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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Carboxymethyl Cellulose-Based Spray-Dried Microspheres: Recent Advances and Applications in Targeted Drug Delivery Systems
Abstract: Microspheres are spherical particles ranging from 1 to 1000 μm, made from natural or synthetic polymers and inorganic materials. Their structure allows precise drug delivery, improving targeted release and minimizing off-target effects. Natural polymers such as starch, chitosan, and alginate are favored for their biodegradability, adhesion, and compatibility, enhancing mucosal interaction and residence time. Microspheres are widely used in site-specific drug delivery, gene therapy, and vaccine administration, improving immunogenicity, extending …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 251–268 Read article
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Dr. Somenath Dutta, Discoverer of Micro-RNA (MiRNA) Therapeutic to Prevent Harmful Zika Virus for Liver Cancer: A Scientometric Portrait
Abstract: Dr. Somenath Dutta allies Rahul is a global recognized scientist for his outstanding recent discovery of “miRNA therapeutics for the Zika virus” at the age of 26 years, which can be cured Liver Cancer and allied health problems due to Zika virus disease. This study covers his 12 publications in variety of forms including 07 journal articles (59%), 03 conference papers (25%), 01 dissertation, and 01-chapter paper during 2019-2024. All …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 22–36 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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India’s Pioneering Advancements in Vaccinology: Challenges and Milestones – Part 2
Abstract: India has become a global leader in vaccinology, playing a vital role in developing, producing, and distributing vaccines that protect millions of lives. By embracing advances in molecular immunology, recombinant antigen technology, and virus-like particle (VLP) platforms, the country has created affordable vaccines against major diseases, including poliovirus, rotavirus, and SARS-CoV-2. National initiatives, like Mission Indradhanush and Vaccine Maitri, have helped expand immunization coverage, improve public health, and share vaccines …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 Read article
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Impact of Diet and Certain Functional Foods in Type-II Diabetes Management
Abstract: Global health is greatly challenged by type 2 diabetes mellitus (T2DM), whose management mostly depends on dietary and lifestyle changes. This review study looks at how important diet and certain functional items are for managing type 2 diabetes. It offers a thorough summary of current scientific discoveries and clinical investigations that emphasize the contribution of dietary decisions and functional foods to better glycemic control, increased insulin sensitivity, and decreased risk …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 1, 2024 · pp. 9–15 Read article
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CRISPR, Recombinant DNA, and LAMP-Based Platforms for Monkeypox: Emerging Tools for Diagnosis and Therapeutic Development
Abstract: Monkeypox, a zoonotic viral infection caused by the Monkeypox virus of the Orthopoxvirus genus, has recurred as a worldwide public health concern after recent outbreaks outside of its classical endemic areas in Central and West Africa. The resurgence has demanded a thorough reassessment of its epidemiology, mode of transmission, and clinical presentation. In light of these challenges, recombinant DNA technology (rDNA) has emerged as a candidate for developing vaccines, diagnostics, …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 7–28 Read article
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Optimizing Anesthesia for Major Surgery: The Role of Sequential Combined Spinal-Epidural Technique
Abstract: The Combined Spinal Epidural (CSE) approach has been widely employed over the last decade because it achieves rapid onset and substantial blockage while also allowing for the modification or prolongation of the block. Background: Sequential spinal-epidural anesthesia (SSEA) combines the rapid onset and dense blockade of spinal anesthesia with the prolonged duration and adjustable analgesia of epidural anesthesia. This technique is particularly beneficial in major surgeries requiring prolonged operative time …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 2, 2025 · pp. 12–18 Read article
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Personalized Medicine: the impact of ferrofluids, clinical procedures, strategies, applications,challenges, current trends, and reseach opportunities.
Abstract: Personalized medicine has shown progressive development and evolution in health care systems. It is considered as transformative emerging medicine encorporating advanced technologies including genomics, AI as thinking partner, and nanotechnology in a greater extent. The quest for painless injection, lesstoxicity, rapid cell separation, and gene sequencing make ferrofluid the focus of personalized medicine. Currently, magnetic nanoparicles and ferrofluides are becoming driving force of personalized medicine. However, contronlling and managing nanoscale …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 Read article
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Using Artificial Intelligence for The Design of Polymeric Drug Delivery Systems
Abstract: AI is cost effective and time efficient process. Artificial intelligence is a method which uses high speed calculation, the improvement regarding algorithm along with collection about biological and chemical features in pharmaceutical exploration and development .Present day because continuous progress towards machine learning (ML),Artificial intelligence an effective statistics analysing technology might have been broadly utilized in drug design .In pharmaceutical exploration and research employ of AI in target identification, compound …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1018–1027 Read article
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Artificial Intelligence based Point of Care Device in Advanced Medical Diagnostic Techniques
Abstract: Application of Point-of-Care Testing (POCT) at medical sites provides instant diagnostic results that help doctors make quick decisions for patient care. The traditional point-of-care testing equipment faces restrictions because they test single parameters and experience calibration problems in addition to inefficient data management systems. POCT technology benefits from the integration of Artificial Intelligence (AI) which creates a novel system to solve current operational limitations. The presented study introduces an intelligent …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 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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A Review on Transforming Patient Pathways: The Impact of Pharmaceutical Software on Drug Manufacturing and Safety Monitoring
Abstract: The development, production, and safety monitoring of pharmaceuticals are being revolutionized by incorporating digital technologies. Throughout drug lifecycles, pharmaceutical software which includes cloud-based systems, automation, data analytics, and artificial intelligence (AI) has emerged behind efficiency and innovation. Real-time monitoring, predictive maintenance, and process optimization are made possible in manufacturing by software tools like Digital Twins, Manufacturing Execution Systems (MES), and Quality Management Systems (QMS). These technologies improve batch consistency, lower …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 40–46 Read article
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Assessing the Clinical Efficacy and Safety of Semaglutide: A Comprehensive Study
Abstract: Semaglutide, a glucagon-like peptide-1 receptor agonist (GLP-1RA), has emerged as a versatile therapeutic agent with significant potential in managing a range of diseases. Extensive research has demonstrated its efficacy in treating obesity, type 1 and type 2 diabetes, and even neurodegenerative disorders like Parkinson’s disease. This comprehensive review examines the principal outcomes derived from clinical trials that incorporate semaglutide alongside other GLP-1 agonists, with particular emphasis on the mechanisms underlying …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 96–104 Read article