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65 articles for “cancer diagnosis”
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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Visualization of genomic sequence in BRCA1 and BRCA2
Abstract: Heredity is the main reason of breast cancer in women and mutation or genetic variations also another reason for the spread of breast cancer. Heredity and genetic variations are responsible 5%-10%, 30%-50% respectively. There are 90% chances of developing neoplasm by the mutations. The effect of BRCA1 and BRCA2 may leads to the variations in DNA therefore it should be in limited amounts so that there will be minimum changes …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 49–55 Read article
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Revolutionizing Blood Cancer Treatment: Emerging Therapies and Future Perspectives
Abstract: Blood cancer inclusive of leukemia, lymphoma and multiple myeloma poses a significant threat in the world today because of its multifactorial process and its non-amenable to standard therapies. Some of such approaches are immunotherapy, gene-editing technology and targeted small molecule inhibitors that have altered the nature of treatments. CAR T cell therapy is a molecular targeted therapy for cancers and several clinical studies have reported a huge success. Also, the …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 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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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Synthesis of Silver Nanoparticles of Cissus Quandrangularis and It’s Virtual Screening Against Gastric Cancer
Abstract: Gastric cancer, also known as stomach cancer, is the third leading cause of cancer-related deaths globally and remains a major health challenge due to its poor prognosis and high mortality, largely attributed to late-stage diagnosis. In this context, plant-based nanomaterials are gaining momentum for targeted therapeutic applications. Cissus quadrangularis, a medicinal plant native to India from the Vitaceae family, is traditionally used for its diverse healing properties. Its stem, in …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1551–1569 Read article
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Application Henderson's Need Theory on a Case of Esophageal Cancer
Abstract: Cancer is a broad term that refers to the uncontrolled growth of abnormal cells, which can invade or spread to other areas of the body. Cancer encompasses over 150 different types, each presenting unique challenges. Patients with cancer often require specialized healthcare to manage their condition and the treatments involved. This case report discusses a 55-year-old female diagnosed with esophageal cancer, who was admitted for chemotherapy. Throughout her treatment, nursing …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 12–17 Read article
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Chemical Preparation Methods of Nano Material with their Applications
Abstract: Scientists were not satisfied with the diagnosis, exploration, injection and imaging through modern medical nanotechnology, but they were also able through this technology to activate smart microscopic bombs that target the cancer cell and detonate it, killing the cancer cells. This technology was tested on laboratory mice and achieved great success. Nanotechnology is the technology of the future, not only in the medical and therapeutic aspect, but also in everything …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 1–9 Read article
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Chemical Preparation Methods of Nano Material with their Applications
Abstract: Scientists were not satisfied with the diagnosis, exploration, injection and imaging through modern medical nanotechnology, but they were also able through this technology to activate smart microscopic bombs that target the cancer cell and detonate it, killing the cancer cells. This technology was tested on laboratory mice and achieved great success. Nanotechnology is the technology of the future, not only in the medical and therapeutic aspect, but also in everything …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 2, 2024 · pp. 1–9 Read article
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Magnetic ZnxFe2–xO3 Nanoparticles Enhanced Nanobiosensor Integrated with MOSFETs for Efficient Detections of Biomolecules and Cancerous Cells
Abstract: The human brain is mostly responsible for intelligence and consciousness. An artificial equivalence of this action is nanobiosensor, which is used in artificial intelligence. The need for nanodiagnostics platforms for detecting diseases at the genetic, molecular, and cellular level has triggered the development of nanobiosensors integrated with MOSFETs. This device enables simple, inexpensive rapid tests, accurate imaging methods, and accurate molecular diagnosis at point-of-care (POC). This device is seen as …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 3, 2024 · pp. 33–44 Read article
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Cancer Chemotherapy-Induced Cachexia: Bridging Mechanisms, Management, and Future Therapies
Abstract: Involuntary weight loss, skeletal muscle atrophy, adipose tissue depletion, anorexia, and systemic inflammation are all symptoms of chemotherapy-induced cachexia, a complex illness. Although it is common, it remains poorly understood and is often referred to as an "orphan disease." This study covers the epidemiology, pathophysiology, clinical symptoms, diagnosis, treatment, and emerging treatment options for chemotherapy-induced cachexia. To comprehend the causes, clinical results, and therapeutic approaches, a literature-based synthesis of recent …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 17–26 Read article
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Radiopharmaceuticals use as a nuclear medicine for a Treatment of Disease
Abstract: Radiopharmaceuticals are radioactive substances that contain a bonded radionuclide with the intention of directing the radionuclide to a specific place for treatment or imaging. Radiopharmaceuticals are employed in nuclear medicine for cancer therapy as well as other therapeutic and diagnostic applications. Therefore, the primary goal of this study is to identify the key metal complexes and radioactive elements utilized in radiopharmaceutical applications. The sodium and methylenediphosphonate (MDP-99mTc) complexes, along with …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 17–21 Read article
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Uses of Nanotechnology in Medical Diagnostic Applications
Abstract: Nanoparticle and nanodevice is a boon for mankind to treat and deal with disease and medical diagnosis respectively. Nanotechnology is formed by the unity of chemistry, engineering, biology and medicine restricted to the nanoscale (about 1–100 nanometer (nm)). For example, early detection of malignant tumors and cancer biomarkers, which is impossible using conventional technologies. In here we will discuss nanosized sensors to identify different pathological parameters, foreign antigen and toxic …
Published in Research and Reviews : A Journal of Medical Science and Technology Read article
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Transforming Rare Disease Diagnosis with AI
Abstract: Artificial intelligence is changing healthcare fast. It is making diagnoses accurate, helping doctors get better results, and streamlining how care works. This paper looks at how AI shows up in healthcare right now – where it is already making a difference, what is working, and what is still tricky. The focus is on machine learning, natural language processing, and computer vision. Particular attention is given to using AI in diagnosing …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Multiple Disease Prediction Using Machine Learning Algorithms
Abstract: The incorporation of machine learning algorithms into healthcare has transformed disease prediction and diagnosis. This research introduces a method for predicting various diseases using machine learning techniques. A comprehensive dataset, consisting of patient records, medical histories, and key disease-related features, was utilized to build predictive models. Data preprocessing methods, including feature selection and normalization, were implemented to clean and prepare the dataset. Several machine learning algorithms, such as Decision Trees, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 34–38 Read article
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Sustainable Advances in Oral Pathology: The Impact of Artificial Intelligence
Abstract: Oral cavity cancers constitute about 4% of all malignant neoplasms. More than 9,900 new cases are reported from the developed countries yearly, and the 5-year mortality rate is higher than 39%. In Europe, the highest rates occur in Hungary, Croatia, and other Central and Eastern European countries; high levels are also seen in India, Pakistan, and Bangladesh. The management of endosseous pathologies presents considerable challenges because they often exhibit no …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 1, 2025 · pp. 24–27 Read article
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Microneedles and the paradigm shift in the field of dentistry: A Review Article
Abstract: Needle-based instruments are advancing as a promising tool for both diagnosis and treatment within the medical realm. They possess versatility, being capable of drug delivery and fluid extraction, catering to both systemic and local requirements. Unlike traditional drug delivery methods, which necessitate repeated dosing in the oral cavity due to saliva presence, there's a growing demand for delivery systems like needle-based devices that can offer sustained drug release orally. These …
Published in Research and Reviews: A Journal of Dentistry Read article
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Use of the Computer Statistics in Oncology
Abstract: Currently, the use of computer statistics and computer statistical modeling in oncology for obtaining an accurate diagnosis, determination of the choice of treatment method and its correction in the process of ongoing treatment, prediction of the outcome of the disease, and evaluation of the effectiveness of the chosen treatment tactics is a decisive factor. The use of computer statistics, based on an adapted scientific and statistical package of the SSP …
Published in Research & Reviews : Journal of Statistics 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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Classification of Skin Disease Images Using EfficientNetTransfer Learning Technique
Abstract: Melanomous Skin lesions are among the deadliest kinds of cancer. Despite being a very uncommon skin condition, melanoma is responsible for 75% of cancer-related deaths. Dermatologists perform dermoscopy more commonly than any other procedure. Since it aggravates the skin condition, a dermatologist will be the first to identify it during an inspection. Because this strategy depends on the user's visual perception and experience, it can only be used by highly …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 · pp. 7–12 Read article