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45 articles for “Tumor”
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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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Study on Brain Tumor Detection Using Morphological Operations in MATLAB with Graphical User Interface (GUI)
Abstract: Brain tumor detection plays a crucial role in early diagnosis and effective treatment planning. This research presents a MATLAB-based Graphical User Interface (GUI) for Brain Tumor Detection, incorporating a comprehensive pipeline of image processing techniques. The GUI provides a user-friendly platform, empowering medical professionals to accurately and efficiently analyze MRI brain scans. The GUI begins with text removal to eliminate any textual artifacts that may be present in the MRI …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 24–31 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images
Abstract: Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors. Manual analysis of brain tumor detection using MRI is a tedious task that requires expertise in the field. Therefore, this study proposes a deep learning-based approach for brain tumor detection and classification using Convolutional Neural Networks (CNN). The proposed approach preprocesses the MRI image using normalization, resizing, and noise …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Brain Tumor Detection by Aggregating Deep Learning and GAN Models for Faster MRI image Synthesis
Abstract: Brain tumors comprise a global health challenge that, in order to be treated and organized, need early and accurate diagnosis. Usually conducted through medical imaging, brain tumor detection techniques have problems of accuracy, efficiency, and confidentiality. Issues of limited datasets, strict privacy laws that provide restrictions on data sharing, and the necessity for specialized expertise on medical image analysis relegates modern methodologies to vulgar charades. For patient prognosis, treatment planning, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 45–53 Read article
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Mass Spectrometry–Based Phosphoproteomic Markers to Predict Kinase Inhibitor Response in Solid Tumors
Abstract: Mass spectrometry-based phosphoproteomics has emerged as a powerful tool for predicting kinase inhibitor responses in solid tumors, offering direct functional insights into signaling pathways that surpass traditional genomic profiling by capturing dynamic kinase activities and adaptive resistance mechanisms. Technological breakthroughs, including data- independent acquisition (DIA), trapped ion mobility spectrometry (timsTOF), and efficient enrichment methods like TiO2 or IMAC, now enable comprehensive profiling of over 40,000 phosphorylation sites from limited clinical …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 2, 2026 Read article
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Identification and Categorization of Brain Tumors
Abstract: Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Strategic and well-thought-out treatment planning significantly contributes to improving a patient's overall quality of life. Many different imaging techniques, such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and also ultrasound are used to evaluate tumors in different parts of the body, with a focus on using MRI images for brain tumors. It is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 32–37 Read article
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Hidradenocarcinoma: A Rare Skin Disease
Abstract: Hidradenocarcinoma (HAC) also known as ‘‘sweat gland tumor” is an aggressive, uncommon, highly malignant, adnexal tumor derived from the intradermal duct of eccrine sweat glands. It is said to be aggressive as it has a high risk of local recurrence (50%–75%) and a high potential to metastasize to nearby lymph nodes or to other distant sites. Hidradenocarcinoma has other recognized variants which are known by different names such as Malignant …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 1, 2024 · pp. 1–12 Read article
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Precision Medicine for Neurofibromatosis Type 1: Progress and Prospects in Drug Discovery
Abstract: Objective: The development of neurofibromas, café-au-lait spots, and other neurological problems are the hallmarks of neurofibromatosis type 1 (NF1), a hereditary disorder. The dearth of efficacious pharmaceutical therapies underscores the need for novel therapeutic approaches, even in the face of clinical variability. Through very accurate prediction of the binding affinity of possible therapeutic drugs with the target protein, the computational technique known as “molecular docking” has become a potent tool …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 01–15 Read article
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Risk After Pediatric MRI Scanning: A Nation-Wide, Population Based Case-Control Study
Abstract: This paper investigates the potential association between pediatric MRI (Magnetic resonance imaging) exposure and the risk of developing childhood brain tumors, using action-wide, population-based and case-control methodology. The increasing use of MRI in pediatric healthcare has raised concerns about potential long-term health risks, including the risk of developing brain tumors. Detecting the presence or absence of brain tumor through traditional methods might require a lot of time as well as …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Molecular Docking Studies of Wildtype P53 with Damnacanthal and Scopoletin- Phytochemicals Derived from Morinda Citrifolia
Abstract: Cancer is a prominent cause of mortality globally, and it has the potential to impact any region of the body. The tumor suppressor protein P53 plays a significant role in inhibiting tumor growth by regulating DNA repair, inducing cell cycle arrest, promoting senescence, and triggering apoptosis when confronted with genotoxic stress. P53 is found mutated in 50% of cancers where it loses its tumor suppressive properties and gains oncogenic properties …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 20–31 Read article
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Advancing Cancer Vaccine Development through CRISPR/Cas9 Technologies and Future Opportunities
Abstract: The advent of CRISPR/Cas9 genome editing has revolutionized the cancer immunotherapy market, offering unprecedented precision and versatility in the development of next-generation cancer vaccines. This review examines how CRISPR technologies are being integrated into various stages of cancer vaccine development including neoantigen discovery, dendritic cell engineering, cancer cell reprogramming, and tumor microenvironment modulation. In the area of neoantigen discovery, CRISPR enables rapid identification and validation of tumor-specific mutations, thereby supporting …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 Read article
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Navigating the Depths of Cancer Stem Cells: Unraveling Resistance Mechanisms and Emerging Therapeutic Strategies
Abstract: In the past few decades, comprehensive evidence has convincingly established the presence of cancer stem cells (CSCs) as a minor subset within tumors, contributing to an unusually elevated level of cellular diversity within the malignancy. CSCs are functionally identified by their capacity for self-renewal and differentiation, frequently influenced by signals from their surrounding microenvironment. The interconnected transcriptional, post-transcriptional, metabolic, and epigenetic regulatory networks govern the biological characteristics of CSCs. CSCs …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 14–18 Read article
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A Rare Case Of Symplastic Leiomyoma Of Uterus : A case Report
Abstract: Uterine smooth muscle tumors (USMT) are of mesenchymal origin and develop from the smooth muscle cells of the uterus. Leiomyomas and their subtypes are the most commonly occurring USMT’s. Symplastic Leiomyoma is an unusual histologic subtype of Benign Leiomyoma, hence also known as atypical or Bizarre leiomyoma. It is often difficult to differentiate it from Leiomyosarcoma because of its bizarre looking nuclei on histology. However it’s malignant transformation is rare. …
Published in International Journal of Toxins and Toxics · Vol. 1, Issue 2, 2024 · pp. 26–31 Read article
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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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Multiple Sclerosis: A Systematic Review of a Neurological Disorder
Abstract: The inflammatory illness known as multiple sclerosis (MS) is brought on by outside influences that affect a biologically vulnerable host. It has 3 separate diagnostic phases: the pre-clinical phase, which can only be discovered by MRI; the relapsing-remitting (RRMS) phase, which again is defined by bouts of neurological malfunction accompanied by remission; and the progressing phase, which often develops from either the relapse phase. Unfortunately, the majority of relapse MS …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 1, 2023 · pp. 53–71 Read article
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Exploring Oroxylum indicum Phytochemicals as VEGFR-2 Inhibitors: A Molecular Docking Approach for Cancer Management
Abstract: Cancer is still a major health problem around the world and is one of the top causes of death. A protein called VEGFR-2 (vascular endothelial growth factor receptor 2) is important because it helps blood vessels grow by supporting the survival, movement, and growth of certain cells. This process is essential for tumors to grow and spread to other parts of the body. This study focused on evaluating the binding …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 48–62 Read article
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Molecular Docking Studies of Nyctanthes arbor-tristis Phytochemicals for Targeting TNF Receptor in Arthritis
Abstract: Rheumatoid Arthritis is an autoimmune disorder which results in inflammation. Tumor necrosis factor-alpha (TNF-α) is responsible for the progression of inflammatory arthritis by promoting immune cell activation and cytokine release. The present study explores the potential of bioactive compounds derived from Nyctanthes arbor-tristis (Parijat) in modulating TNF receptor activity through molecular docking. Computational methods were employed to evaluate the binding affinity of selected phytocompounds from N. arbor-tristis against the extracellular …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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Butrin Tackles Retinoblastoma – A Clinical Hypothesis †
Abstract: Breach of association of legumain protein activities to the corresponding cellular components results in over-expression of legumain, and constitutes a key biomarker for a variety of life-taxing sicknesses like cancer, Alzheimer’s/Parkinson’s and acute kidney injury. To suppress the functions of legumain, it is hypothesized that a water soluble and edible biomolecule, namely, butrin (7, 3’, 4’-trihydroxy flavanone-7, 3’-diglucoside) may have the therapeutic potential owing to its special ability to bind …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 26–30 Read article
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In Silico Exploration of Podophyllum Hexandrum-Derived Phytocompounds as Potential Therapeutics Against Small Cell Lung Cancer (SCLC): A Molecular Docking Approach
Abstract: Small Cell Lung Cancer (SCLC) is a fast-growing and aggressive type of lung cancer that spreads quickly strongly associated with smoking. It is characterized by symptoms, such as persistent cough, breathing difficulties, or hoarseness, though it can sometimes be asymptomatic which makes early detection challenging. The tumor suppressor gene TP53 is critical in regulating the cell cycle and preventing uncontrolled cell division. Mutations in TP53 result in the loss of …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 1, 2025 · pp. 1–11 Read article