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118 articles for “lungs”
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Clinical Significance of Immune Cells and T-cell Subsets in Lung Cancer
Abstract: Objectives: The aim of the study was to determine the clinical usefulness of pretreatment hematological parameters including neutrophils, lymphocytes, monocytes and immune T-cell subsets as well as calculated coefficients such as neutrophils-to-lymphocytes ratio(NLR),monocytes-to-lymphocytes ratio(MLR) and platelets-to-lymphocyte ratio(PLR)in patients with lung cancer. Materials and Methods: A total of 102 patients with lung cancer were prospectively analyzed. T-cell subsets were assessed by flow cytometry method. Peripheral blood was collected from 25 healthy …
Published in Research and Reviews : A Journal of Immunology · Vol. 9, Issue 2, 2019 · pp. 14–29 Read article
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Diagnostic Algorithm of Multidetector Computed Tomography (MDCT) for Healthy Lungs to Detect Variations of Morphologic Index
Abstract: Introduction: Diagnostic algorithm of Multidetector Computed Tomography (MDCT) was established to make qualitative diagnosis with four types of shadows-increased Lung Attenuation, Decreased Lung Attenuation, Linear Pattern, Nodular Pattern and the nodular pattern is also used for qualitative assessment by being further classified as round, lobulated, polygonal, tentacular, spiculated, ragged and irregular pattern. Method: To establish the new diagnostic algorithm using MDCT result indicators, we selected morphologic indices to used CAD …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 1, 2022 · pp. 30–33 Read article
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A Comprehensive Review of Ethnobotanical Studies on Traditional Indian Herbal Plants for Lung Cancer Management
Abstract: Lung cancer is a leading cause of cancer-related deaths in the world. Current therapies for lung cancer are often limited by many side effects. This review compiles and evaluates ethnobotanical evidence and modern scientific findings of Indian herbal plants traditionally used for respiratory and tumor-related disorders, with a focus on their relevance to lung cancer management. Herbal phytochemicals and how they show their potent activities were also listed in this …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 1, 2026 · pp. 1–7 Read article
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Exprimental Study on the Protective Action of rhGM-CSF for Acute Lung Injury
Abstract: Anti-cancer agents and radiation therapies result in various complications on respiratory systems like interstitial pneumonia, acute lung damage, bacterial pneumonia and pneumomycosis in clinical oncology. Recently it is being interested in variable rolls of GM-CSF to protect the lungs. We infuse the ethyl alcohol and lipopolysaccharide (LPS) to damage lung orally, and then inject GM-CSF subcutaneously at the same time and then observe the changes of lung tissue. As a …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 3, 2019 · pp. 4–8 Read article
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Role of Epigenetic Mechanisms in Lung Fibrosis: Therapeutic Opportunities and Challenges
Abstract: Lung fibrosis poses a serious risk to one's health since it might result in respiratory failure due to an abnormal accumulation of fibrotic tissue in the lungs. Epigenetic mechanisms, such as histone changes, DNA methylation, and non-coding RNAs, closely control gene expression patterns and cellular processes associated with lung fibrosis. Anomalies in DNA methylation patterns connected to changes in gene expression profiles and disturbances in fibrotic signalling pathways are potential …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 9–20 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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Lung Function Decline Among Brick Kiln Workers in Haryana Due to Chronic Particulate Matter Exposure
Abstract: In Haryana, India, brick kiln workers are subjected to high levels of Particulate Matter (PM) which has been shown to deteriorate respiratory health. This study looks into the effect sustained exposure to particulate pollution has on lung function among workers in the brick kilns. The objective of the study was to assess the impact of chronic exposure to particulate matter on lung function among brick kiln workers in Haryana. A …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 11–16 Read article
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Modern Approaches in Lung Cancer Management from Herbal Nanomedicine to Artificial Intelligence
Abstract: Lung cancer continues to be a major global health concern and one of the leading causes of cancer-related mortality worldwide. Despite significant advancements in therapy, there is still a pressing need for safer and more effective therapeutic alternatives; problems such drug resistance, side effects, metastasis, and recurrence continue to impact patient outcomes and quality of life. Examining current advancements in the use of herbal drug-loaded nanoparticles as a novel approach …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Effect of Yoga on Police Personal’s Lung Capacity and Physiological Parameters when Added to their Fitness Training
Abstract: Aim: Occupational hazard of the stress of police duty requires regular rejuvenation of the physical and physiological capacity of the body for handling daily challenges. Hence this pre- and post- intervention effect evaluation was conducted among a cohort of Delhi police personnel to estimate physical and physiological changes with added Yoga during the ongoing fitness schedule for on-duty police personnel. Methods and Material: police personnel n-53, gender male, aged 40-45 …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 10, Issue 1, 2023 · pp. 33–41 Read article
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DETECTION OF LUNG CANCER USING SOFT COMPUTING TECHNIQUES
Abstract: Cancer is a generic term that can affect any part of the body. Most cancers, 90%-95%, are because by environmental and lifestyle variables which cause genetic mutations. Inherited genetics account for 5% to 10% of the total. Early identification of lung cancer has improved patient survival and has been a vital study topic. It starts within the cells covering the bronchi and lung parts like bronchioles or alveoli. Due to …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 2, 2023 · pp. 1–12 Read article
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Influence of Geographic Disparity on Lung Function in Chronic Obstructive Pulmonary Disease (COPD) Patients from Two Cities of Northern India
Abstract: Objectives: Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease associated with a notable amount of morbidity and mortality and characterized by progressive airflow obstruction. A decline in lung function, which is a hallmark of COPD, can be measured using spirometry. Yet with conflicting results, a link is found between geographical altitude and prevalence of COPD. Therefore, the main aim of this study was to assess the effect …
Published in Research and Reviews: A Journal of Health Professions · Vol. 10, Issue 1, 2020 · pp. 29–36 Read article
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An Evaluation of the Efficacy and Safety Profile of Inula Racemosa in Patients of Restrictive Lung Diseases
Abstract: In this paper, we explain the procedure to evaluate the efficacy and safety profile of Inula racemosa in patients of restrictive lung diseases. The patients included in this study were selected from the outpatient clinic of a tertiary care hospital in North India. The present study was initiated on 45 patients suffering from restrictive lung diseases, 31 of these patients were followed up for 6 weeks. Remaining patients did not …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 4, Issue 3, 2015 · pp. 18–21 Read article
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Efficacy of Combination Therapy with Osimertinib and Afatinib in epidermal growth factor receptor-mutant non-small-cell lung cancer Patients
Abstract: Treatment options for patients with non-small-cell lung cancer who have epidermal growth factor receptor mutations are constrained by the emergence of resistance to epidermal growth factor receptor tyrosine kinase inhibitors. Osimertinib or afatinib alone, when tested in a laboratory model, led to the formation of drug-resistant clones harboring epidermal growth factor receptor secondary mutations. However, combining these drugs prevented the emergence of such mutations. In a Phase II clinical trial, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 1, 2024 · pp. 13–24 Read article
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A Review on Lung Cancer Prediction Using Machine Learning
Abstract: Lung cancer continues to be a major contributor to cancer-related mortality across the globe. Timely diagnosis and reliable prediction models play a crucial role in enhancing treatment outcomes and survival rates for patients. The present study focuses on the utilization of machine learning (ML) methods for the prediction of lung cancer. Using datasets that incorporate clinical records, imaging modalities, and genetic profiles, the research assesses the predictive capabilities of multiple …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–11 Read article
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Non-Small Cell Lung Cancer: Types, Pathogenesis, Diagnosis, and Novel Therapeutic Strategies
Abstract: Non-small cell lung cancer (NSCLC) is the most prevalent type of lung cancer, accounting for over 85% of all cases globally. It remains one of the primary causes of cancer-related death due to its rapid progression, few early symptoms, and late detection. The three main forms of non-small cell lung cancer (NSCLC) are adenocarcinoma, squamous cell carcinoma, and giant cell carcinoma; each has a unique histology, prognosis, and response to …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 · pp. 07–22 Read article
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Air Pollution and Lung Cancer: A Deep Dive into the Impact in Southern India
Abstract: Lung cancer incidence is rising in Southern India, with air pollution, particularly PM2.5, emerging as a significant risk factor alongside smoking. A retrospective cohort study analyzed data from 1,500 lung cancer patients diagnosed between 2010–2020 across Chennai, Bangalore, and Hyderabad, using hospital records, cancer registries, and environmental monitoring stations. The study found that 73.3% of patients were male, 80.7% were smokers, and 42.7% were aged 60+. Chennai had the highest …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 2, 2025 · pp. 24–30 Read article
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Early Lung Cancer Prediction using deep Learning
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
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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
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Pulmonary Effects of Cement Exposure in Construction Workers Correlating Lung Function Parameters with Workplace Hygiene
Abstract: Construction workers are routinely exposed to cement dust, a recognized occupational hazard known to adversely affect respiratory health. This study investigates the pulmonary effects of cement exposure in construction workers by evaluating lung function parameters and examining the role of workplace hygiene practices. A cross-sectional analysis was conducted on a sample of construction workers with varying durations of exposure to cement dust. Spirometric assessments, including forced vital capacity (FVC), forced …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article