Research and Reviews: Journal of Oncology and Hematology

Latest articles

• Published Subscription Review Article 31 Aug 2026

  Transforming Cancer Care Through AI-Driven Machine Learning: Real-Time Patient Monitoring and Personalized Intervention Strategies

  By Khushboo H. Trivedi, Hirenkumar Thakor

  Abstract: Modern healthcare systems are being improved by artificial intelligence (AI) and machine learning (ML), particularly in the treatment of cancer. An AI-driven machine learning system for monitoring cancer patients in real time and offering tailored therapeutic methods is presented in this research. In order to track health issues in real time, the suggested system gathers ongoing health data from wearable sensors and integrates it with patient medical records. This data …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 31–38 Read article →

• Published Subscription Review Article 31 Aug 2026

  Anticancer, Bioactive, & Therapeutic Applications of Cannabinoids

  By Mukesh Chander

  Abstract: Cannabinoids, a complex class of lipophilic compounds found in Cannabis sativa L., are attracting significant clinical interest for their multifaceted therapeutic potential, particularly within oncology. This review provides a comprehensive synthesis of contemporary knowledge detailing the distinct anti-cancer properties of phytocannabinoids (such as δ-tetrahydrocannabinol and cannabidiol), endogenous endocannabinoids, and synthetic analogues. Accumulating evidence from robust in vitro and in vivo oncological models demonstrates that these compounds aggressively suppress tumor progression …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 17–30 Read article →

• Published Subscription Review Article 31 Aug 2026

  A Comparative Machine Learning Framework for Early Prediction of Liver Cancer Using Clinical Attributes

  By Diksha Goyal, Surendra Kumar Yadav, Shalini Sharma

  Abstract: One of the main causes of cancer-related death globally is liver cancer, and improving patient outcomes depends heavily on early detection. However, low contrast, noise, organ similarity, and tumor shape and size variability make it difficult to accurately identify and segment liver tumors from medical imaging. Automated liver cancer diagnosis, segmentation, and prognosis have been greatly improved by recent developments in artificial intelligence (AI), especially deep learning. This work presents …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 39–47 Read article →

• Published Subscription Review Article 31 Aug 2026

  The Quiet Intruder: An Insidious Presentation of Primary Plasma Cell Leukemia and a Literature Review on Current Treatment Strategies

  By Deeksha Grover, Rao Moravineni, Oluchi Idenyi, Daniel Assaf, Vishwanath Anil, Madhu Bhargavi Chandra

  Abstract: Introduction: Primary plasma cell leukemia (pPCL) is a rare and aggressive plasma cell dyscrasia, defined by ≥5% circulating plasma cells, with poor prognosis and rapid progression. Case Presentation: A 66-year-old African–American female with no prior medical history presented with one week of fatigue, dehydration, and polydipsia. Laboratory evaluation revealed leukocytosis, severe thrombocytopenia, acute kidney injury (creatinine 4.03 mg/dL), and hypercalcemia (13.0 mg/dL) with suppressed PTH. Imaging showed intra-abdominal lymphadenopathy without …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 1–5 Read article →

• Published Subscription Original Research 3 Jul 2026

  Early Lung Cancer Prediction using deep Learning

  By Mohit Bharat Vishwakarma, Karan Gajajibhai Vala, Padma Mishra, Shubham Mishra

  Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article →

• Published Subscription Review Article 5 Apr 2026

  Extracellular Vesicle-Based Liquid Biopsies: Decoding the Tumor Microenvironment for Precision Oncology

  By Shubham Sah, Deepa Kumari, Manish Kumar, Meghana Inupamula, Abhay Kumar Yadav, Mohan Mishra, Abhijeet Pandey

  Abstract: The tumor microenvironment (TME) plays a pivotal role in cancer initiation, progression, and therapeutic response. Decoding the TME is, therefore, essential for advancing precision oncology. Extracellular vesicles (EVs), including exosomes and microvesicles, are nanoscale lipid bilayer particles secreted by tumor and stromal cells. They transport a wide range of bioactive molecules, such as DNA, RNA, proteins, lipids, and metabolites, which reflect the dynamic state of the TME. Recent advances in …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 43–62 Read article →

• Published Subscription Book Review 5 Apr 2026

  Uncontrolled Cell Growth and Human Health: A Comprehensive Exploration of Cancer

  By V. Basil Hans

  Abstract: Cancer is a diverse category of diseases defined by the uncontrolled proliferation and spread of aberrant cells. It remains the major cause of morbidity and mortality worldwide. This article presents an overview of the various forms of cancer, such as carcinomas, sarcomas, lymphomas, and leukaemia, emphasising their distinct causes, symptoms, and risks. Early detection and diagnosis are emphasized as key to enhancing treatment outcomes. The article further provides an in-depth …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 1–23 Read article →

• Published Subscription Original Research 5 Apr 2026

  The Role of Tobacco Consumption in Oral Cancer Incidence in Punjab and Haryana

  By Eric Kwasi Elliason, Atul Khajuria, Stephen Monday, J. Samuel Kamanda, Christian Gendemeh

  Abstract: Background: Oral cancer is one of the most common types of cancer in India, especially in the northern regions, like the states of Punjab and Haryana, where the prevalence of tobacco consumption, smoking, and smokeless forms, is high. Nevertheless, the specific contribution of different types of tobacco and other risk factors related to oral cancer occurrence in these populations has been poorly investigated. The purpose of this investigation is to …

  Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article →

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