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151 articles for “diagnostic applications”
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Microbial Symphony: Understanding Biochemical Pathways for Precision Medicine and Beyond
Abstract: The human microbiome, an intricate ecosystem of microorganisms inhabiting the body, is a key regulator of host biochemistry and physiology. This review delves into the complex biochemical pathways influenced by the microbiome, spotlighting critical metabolites like short-chain fatty acids, bile acids, and tryptophan derivatives, which impact immune regulation, energy metabolism, and neurobehavioral functions. By examining interactions between the microbiome and the host, including the influence of genetic factors and metabolite-driven …
Published in International Journal of Antibiotics · Vol. 2, Issue 1, 2025 · pp. 28–43 Read article
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A Comprehensive Review on Piezoelectric Composites for Energy Harvesting and Sensing
Abstract: The capacity of piezoelectric composites to transform mechanical energy into electrical energy and vice versa has drawn a lot of interest recently. This property makes them very appealing for use in energy harvesting and sensing applications. These materials combine the high piezoelectric performance of ceramics with the mechanical flexibility and processability of polymers or other matrices, enabling a wide range of practical uses in flexible electronics, wearable systems, and embedded …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 19–24 Read article
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Microneedles: A Modern Breakthrough in Drug Delivery Systems
Abstract: Microneedles (MNs) represent a revolutionary and transformative advancement in the realm of transdermal drug delivery systems, which are designed to facilitate the administration of therapeutic agents through the skin. These exceptionally small, micron-scale needles penetrate the stratum corneum, thereby enabling the direct delivery of pharmacological agents into the underlying dermis or the upper epidermis, consequently enhancing bioavailability while simultaneously circumventing the detrimental effects of first-pass metabolism and the degradation that …
Published in Trends in Drug Delivery · Vol. 12, Issue 3, 2025 · pp. 01–07 Read article
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Tools, Modern Drugs, and Latest Investigations for the Diagnosis and Treatment of Heart Failure: A Systematic Review of the General Causes
Abstract: Heart failure (HF) diagnosis and treatment present formidable challenges, given the absence of a definitive single test. This systematic literature review aims to comprehensively analyze the current landscape of diagnostic tools, modern drugs, and latest investigative approaches in HF management. Recognizing the complexity of HF etiology, this systematic review emphasizes the importance of advanced diagnostic methods, such as genetic testing and artificial intelligence applications. The systematic review was conducted to …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–10 Read article
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Polymer Chemistry in Biomedical Applications: Advances and Innovations
Abstract: Polymers have revolutionized biomedical sciences by playing a crucial role in medical devices, drug delivery systems, and tissue engineering. It is important to note that their unique combination of biocompatibility, mechanical strength, and chemical versatility makes them essential for applications such as implants, prosthetics, and diagnostic tools. Biomedical polymers are categorized into natural types (e.g., collagen, chitosan) and synthetic variants (e.g., polyethylene glycol, polylactic acid), each offering distinct benefits depending …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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A Study on the Use of AI and Sensors in Aerospace
Abstract: The synergistic combination of modern sensors including artificial intelligence (AI) has significantly changed the aeronautics industry's ongoing quest for increased safety, efficiency, and autonomy. The examination of the critical role these technologies play throughout the whole aerospace lifecycle from design and production to flight operations and maintenance is examined in this research. The eyes and ears of contemporary aircraft, sensors give an unparalleled amount and quality of real-time data about …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 25–34 Read article
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A Study of Optical Sensor in Clinical applications
Abstract: The escalating demand for precise, real-time, and minimally invasive diagnostic and monitoring tools in clinical practice has propelled the development of sophisticated sensor technologies. Among these, optical sensors have emerged as a cornerstone, leveraging the interaction of light with biological matter to translate molecular or cellular events into quantifiable signals. Their inherent advantages – including high sensitivity, specificity, rapid response times, non-ionizing nature, and potential for miniaturization – make them …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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Analysis of Natural Pigments and its Application on Various Fields towards the Eco-Friendly Environment
Abstract: The pigments that are found naturally in the environment are most likely to be said as "earth colour" or "earth pigment". The traditional pigments are observed to have all the substances that are available on the natural environment and are of more economic values. The pigments as a natural dye are observed to be safe, highly efficient and eco- friendly. These organic colorants are observed to contain oxygen, carbon with …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 3, 2019 · pp. 9–19 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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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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A Review: Electrical Impedance Tomography System and Its Application
Abstract: Nowadays, the objective of medical research is to improve the diagnostic tools and instruments such as to develop new assessment methods, non-invasive and long-term monitoring method. Currently, the non-invasive technique is used for during pregnancy and labor due to its standard clinical approach. Such as ultrasound and MCG, CTG is also used during pregnancy because of its sensitivity to the mother and fetal movement but it is not used during …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 2, 2016 · pp. 14–22 Read article
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Management of Kosthasakhashrita Kamala W.S.R. to Hepatocellular Jaundice – A Case Study
Abstract: Kosthasakhāśrit Kamala is a well-recognized clinical entity in Ayurveda and is widely correlated with modern hepatocellular jaundice. The condition arises primarily due to the vitiation of Pitta dosha within the Kostha (gastrointestinal tract), which subsequently spreads to the Sakha (peripheral tissues). Classical texts describe hallmark features such as Haridra Netra (yellowish discoloration of the eyes), yellowish hue of twak and nakha, pitta varṇa of mutra and sakrit (yellow urine and …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 1–8 Read article
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Analysis of Modulation Response of a 450 nm True Blue Semiconductor Laser by Varying Differential Gain
Abstract: AbstractIn this work the analysis of modulation response of a 450 nm InGaN based multi-quantum well (MQW) true blue semiconductor laser have been presented. The internal designing of 450 nm blue laser has been done before. but the desired wavelength of 450 nm was obtained by adjusting the exact concentration of In0.211Ga0.789N/Al0.07Ga0.93N in this work. The effects on modulation response by varying the differential gain have been observed. Also, the …
Published in Trends in Opto-electro & Optical Communication · Vol. 5, Issue 1, 2015 · pp. 1–8 Read article
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High Modulation Performance of a Designed InGaN Based 405 nm Multi-Quantum Well Violet Laser
Abstract: AbstractIn this work, the modulation performance characteristics of a designed 405 nm InGaN based multi-quantum well (MQW) Violet Laser are optimized and presented by varying injection current and differential gain. A maximum output power of 222.53 mW and a maximum resonance frequency of 18.79 GHz of the laser are obtained for 117 mA injection current, where, the differential gain is 4x10-16cm2. The differential quantum efficiency of the laser is obtained …
Published in Trends in Opto-electro & Optical Communication · Vol. 3, Issue 2, 2013 · pp. 7–13 Read article
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Genotoxicity Evaluation of Hospital Waste Waters: A Study Monitored by E.coli WP2 Assay
Abstract: The major sources of health-care waste are hospitals. A variety of substances such as pharmaceuticals, radionuclide and solvents are used in hospitals for medical diagnostics, disinfection and research work. After application, some of these substances and excreted non-metabolized pharmaceuticals by the patients enter into the hospital effluents. Indeed, some of these substances found in wastewaters are genotoxic and are suspected to be a possible cause of the cancers observed in …
Published in Research and Reviews: A Journal of Toxicology · Vol. 3, Issue 1, 2013 · pp. 6–11 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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Intelligent Transport Systems
Abstract: The paper provides an overview of various developments in technologies related to transport system like detection of anomalies in vehicle’s health parameters, Vehicular Ad hoc Networks (VANETs), vehicular communication using mobile device as a means. It describes various applications of Intelligent Transport System and solutions adopted by many research works for providing solutions to the applications. It briefly explains some cost-effective alternatives to existing systems related to applications of Intelligent …
Published in Current Trends in Information Technology · Vol. 11, Issue 2, 2021 · pp. 23–28 Read article
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A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis
Abstract: Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures. Early diagnosis is crucial for effective intervention and management. This study presents a dual-model deep learning framework for the early detection and classification of AD using both structured clinical data and neuroimaging datasets. Model 1 utilizes a greedy layer-wise autoencoder approach applied to structured data, achieving optimal binary classification accuracy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 1–12 Read article