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154 articles for “Medical imaging”
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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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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
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Blockchain Enabled Security Framework: Smart Healthcare
Abstract: To explores the transformative potential of blockchain technology in managing, securing, and ensuring the integrity of Electronic Health Records (EHRs). EHRs, which store vital patient information such as medical histories, diagnoses, prescriptions, and imaging results, are essential for enhancing healthcare delivery. Conventional centralized Electronic Health Record (EHR) systems encounter issues such as susceptibility to single points of failure, security risks, and constraints in maintaining data integrity. By leveraging blockchain’s inherent …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 11–17 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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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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Unlocking Wellness by Ayurveda with Contrasting Modern Medicine
Abstract: In the modern world, we are so subordinate to drugs that we are unable to imagine a single day without them. Like smartphones, we are also addicted to pharmaceuticals, which significantly impact our lives. Constant utilization of medicine makes resistance and dependence on the medicament. It moreover has diverse side effects that cause various health hazards. As people become aware of this, the utilization of herbal remedies has expanded worldwide. …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 16–20 Read article
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Crispr Cas – Revolutionizing Modern Therapies and Beyond
Abstract: CRISPR-Cas technology has emerged as a transformative tool in modern molecular biology, revolutionizing both fundamental research and clinical applications. This RNA-guided gene-editing system enables precise and efficient genomic modifications, offering unprecedented potential for addressing genetic disorders, infectious diseases, and oncological conditions through innovative therapeutic interventions. The inherent specificity and programmability of CRISPR-Cas systems have facilitated breakthroughs in diverse fields, including precision medicine, regenerative therapies, and immuno-oncology. Beyond its therapeutic applications, …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 1, 2025 · pp. 25–38 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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Non -Invasive Ways to Detect Cancer
Abstract: Cancer is a diverse group of diseases characterized by uncontrolled cell growth and division, affecting millions worldwide and being a leading cause of death. The disease typically involves genetic alterations that disrupt the normal balance of cell growth, leading to the formation of tumors. Tumors can be benign, posing no threat as they do not spread, or malignant, capable of invading nearby tissues and metastasizing. There are more than 100 …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 59–67 Read article
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Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article
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Smart Drug Delivery Using Nanorobots
Abstract: In recent years, the field of micro/nanorobot research has gained popularity. Because it can be used in targeted medication distribution, surgical procedures, disease detection, etc., it has enormous promise in medical therapy. Different from conventional medication delivery, which depends on blood flow to drug delivery to difficult-to-reach locations is made possible by the planned micro/nanorobots' ability to move independently. Micro/nanorobots were powered by either endogenous power (chemical reaction energy) or …
Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 Read article
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Bioconjugates and Biohybrid Polymers: Intricate Cellular Integration Methods and Sophisticated Biofunctionalization Techniques for Tailored Properties in Medical Contexts
Abstract: Bioconjugates are made when biological molecules are covalently linked to manufactured polymers. They can be used in many ways for imaging, diagnosis, and specific drug delivery. Getting perfect cellular fusion is very important for how well they work. Biomolecules can be attached to polymer scaffolds in a controlled way using techniques like click chemistry and site-specific conjugation. This makes sure that the molecules connect optimally with their biological targets. Using …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 227–243 Read article
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Systematic Review on: Peptic Ulcer and Its Management
Abstract: Peptic ulcer disease (PUD), which affects 5–10% of people worldwide, is still a significant global health concern. Gastric acid and pepsin's corrosive effects cause mucosal injury in the stomach, duodenum, or lower oesophagus. Long-term use of nonsteroidal anti-inflammatory drugs (NSAIDs) and Helicobacter pylori infection are the primary reasons. This review's goal is to examine PUD's aetiology, risk factors, pathophysiology, clinical symptoms, diagnostic methods, and evidence-based treatment modalities. PubMed, Google Scholar, …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 Read article
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Enhancing Image Classification Performance with Deep Neural Networks
Abstract: Classifying images is useful in many domains, including the study of plant diseases and the analysis of human expressions. Image categorization employing the idea of a “deep neural network” helps to compact otherwise cumbersome photos. It is possible to classify images by using the idea of a “deep neural network”. Self-driving cars, medical diagnosis, automatic translation, etc., all make use of Deep Neural Networks. Recently, excellent results have been achieved …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 · pp. 13–23 Read article
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Biological Membranes: Structure, Function, and Their Roles in Disease Pathophysiology
Abstract: Biological membranes are important structures that control cellular work, signal transmission, transport, and communication. Dysfunction of membranes has been considered in the development of many diseases, such as cancer, neurodegenerative diseases, and infections, with the distortion of lipid composition, protein activity, and cellular connections involved in the pathogenesis of the disease. The damage on membrane can be caused by oxidative stress, genetic mutation, and environmental influence to disrupt cellular homeostasis. …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 38–46 Read article
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Phosphorescence of Carbon Nanodots – The Phenomena and the Applications
Abstract: Photoluminescence has emerged as a fundamental phenomenon in modern biomedical science, enabling advanced diagnostic, therapeutic, and theranostic applications through light–matter interactions at the nanoscale. The ability of photoluminescent materials to absorb electromagnetic radiation and emit light at distinct wavelengths has been widely exploited in bioimaging, biosensing, drug delivery tracking, and photodynamic therapy. Among various photoluminescent nanomaterials, carbon nanodots have attracted significant attention due to their strong emission intensity, tunable fluorescence, …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 1, 2026 · pp. 01–05 Read article
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Detection and Classification of Alzheimer’s Disease Using Deep Learning Technique
Abstract: It is crucial that people with Alzheimer's disease (AD) receive a proper diagnosis to begin preventative action before irreparable brain damage develops. Most people who suffer from Alzheimer's disease (AD), a neurological condition that progresses, are older than 65. The area of interest (ROI) in the hippocampus has been extensively studied for several purposes, including neurological illness research, stress development monitoring, and memory function analysis. Moreover, a connection between Alzheimer's …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 15–20 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
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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