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670 articles for “diagnosiable”
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Red Cell Distribution in Pregnancy Associated with Preeclampsia Patients in Worldwide: A Brief Review
Abstract: Introduction: Preeclampsia (PE) is a major obstetric problem contributing considerably to maternal and prenatal morbidity and mortality worldwide. Preeclampsia varies in incidence in India from 5% to 15%. The role of this hematological parameter in clinical assessment, differential diagnosis, and prognosis evaluation of PE remains unclear. Thus, the purpose of the current review was to investigate the red cell distribution width (RDW) in preeclampsia, analyze its importance for early diagnosis, …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 6–12 Read article
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Unraveling Ulcerogenesis: A Comprehensive Delve of Enteric & Nonenteric Ulcers
Abstract: Enteric ulcers present a multifaceted landscape encompassing both peptic and non-peptic varieties, demanding a thorough exploration of their manifestations, causes, and pathophysiology. At the forefront of understanding lie pivotal factors such as Helicobacter pylori infection, nonsteroidal anti-inflammatory drugs usage, lifestyle choices, and stress, each wielding significant influence over ulcer development and progression. The intricate interplay of these factors underscores the complexity of enteric ulcer etiology. Helicobacter pylori infection—a prevalent culprit—inflicts …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 1, 2024 · pp. 25–40 Read article
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Section Cutting in Histopathology: An Update
Abstract: Histopathology is the microscopic examination of tissues to diagnose and study diseases, more significantly the diagnosis of cancer. It plays a pivotal role in modern medicine, serving as the gold standard for definitive diagnosis in a wide range of conditions. Through meticulous analysis of tissue morphology (structure) and cellular characteristics, histopathology provides crucial information for disease classification, staging, and guiding patient management. In the world of histopathology, where microscopic details …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 29–34 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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X-Ray Insight: Deep Learning-Enhanced Detection and Grading of Knee Osteoarthritis
Abstract: Osteoarthritis (OA) is the most prevalent form of arthritis affecting the knee. It is a degenerative joint disease characterized by the gradual deterioration of cartilage, typically impacting individuals aged 50 and above, although it can also occur in younger people. The condition progresses slowly, with symptoms intensifying over time, leading to significant pain and discomfort. Early diagnosis and intervention can significantly alleviate pain and enhance the quality of life for …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 1–6 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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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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Understanding Leukemogenesis: Challenges and Advancements in Diagnostic Approaches
Abstract: Leukaemia development, or leukemogenesis, is a multifactorial process driven by a complex interplay of environmental, genetic, and epigenetic factors. Despite substantial advancements in technology and medicine, which have enhanced our understanding of the contributing factors, early and accurate diagnosis remains a major challenge due to the overlapping clinical features shared by the various leukaemia subtypes. This study explores the molecular and cellular mechanisms underlying leukemogenesis, while also addressing the difficulties …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 11–22 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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A Review on: Cotard’s Syndrome
Abstract: Cotard’s Syndrome is a rare and severe mental health condition characterized by nihilistic delusions, in which individuals firmly believe that they are dead, no longer exist, or that parts of their body are decaying or missing. These beliefs are not symbolic or metaphorical but are experienced as absolute truths, making the disorder particularly distressing and difficult to manage. The syndrome is most commonly observed in association with major depressive disorder, …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 5–9 Read article
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Lemon Sign: The Diagnostic Indicator for Spina Bifida
Abstract: The “lemon sign” is a distinctive ultrasonographic finding that serves as a diagnostic indicator for spina bifida, a congenital neural tube defect characterized by incomplete closure of the spinal cord. This sign is observed in fetal imaging and is considered an early and reliable marker for detecting spina bifida, particularly when combined with other prenatal diagnostic tools such as the “banana sign.” The lemon sign is characterized by a flattened, …
Published in International Journal of Midwifery Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 1–6 Read article
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Wireless Wrist Pulse Monitor Design
Abstract: Wrist pulse has been used for diagnosis of disease in Ayurveda and traditional Chinese medical system. But this diagnosis is subjective to the experience and sense of the medical practitioner as same pulse may be interpreted in different way by different person. In order to make this diagnosis objective rather than subjective, digitization of wrist pulse is needed. Many platforms have been developed for acquiring the wrist pulse; however, they …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 27–34 Read article
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To Diagnose the Broken Tooth Fault, Signal Processing Techniques and Machine Learning Technique are Applied
Abstract: The objective of this research is to study the diagnosis of broken tooth fault of spur gear using vibration signals with signal processing and machine learning techniques. In this study, experiment has been performed and analyse on the broken tooth fault and healthy spur gear conditions. This paper describes two approaches to signal processing techniques from acquired vibration signals, which are time-domain and frequency domain, involving statistical characteristics of vibration …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 45–53 Read article
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Postprandial Elevation of Body Temperature – A Diagnostic Tool for Diq (Tuberculosis)
Abstract: AbstractDiq (tuberculosis) is one of the oldest diseases. The writings from different civilizations represent its clues. The man has been striving to know, to identify, to diagnose, to cure, to prevent and to eradicate this emaciating disease. All renowned Unani physicians have paid due attention towards the description of this disease. They are of the opinion that Diq is a condition in which Hararat Ghair Tabayee (abnormal heat) is associated …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 2, Issue 2, 2013 · pp. 37–44 Read article
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Dental Professional's Role in Early Detection of Oral Carcinoma- A Review
Abstract: It is well known today that early diagnosis of oral carcinoma greatly increases the probability of cure, therefore leading to minimum impairment and deformity. Oral cancer incidence rose dramatically during the 20th century in the United States and Europe. Delays in the diagnosis of oral cancer are universal and affect a significant number of patients throughout the world. Clinical examination and diagnostic techniques can lead to the early detection of …
Published in Research and Reviews: A Journal of Dentistry · Vol. 2, Issue 1-3, 2011 · pp. 22–33 Read article
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Clinical Utility of Electroglottography and Videostroboscopy: A Correlational Study
Abstract: Voice serves as a unique identity of an individual which is derived from laryngeal features. Any deviance in the voice quality is considered abnormal and thus seeks clinical attention. Speech-Language Pathologist (SLP) plays an important role in the assessment and diagnosis of voice-related disorders. Although perceptual evaluation is a gold standard, objective methods augment the accuracy of the diagnosis of voice disorders. Electroglottography (EGG) is one such commonly used non-invasive …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 3, 2019 · pp. 1–10 Read article
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Measles Eradication by Vaccination: Opportunities and Challenges
Abstract: Measles is one of the vaccine preventable viral diseases that mainly occur in children. The disease was targeted for elimination by a vaccination program that was initiated three decades back. The measles death rate decreased by 74% from the year 2000 to 2010. This was short of targeted 90% mainly because of low vaccine coverage in some countries. Although, there is marked reduction in measles morbidity and mortality, still it …
Published in Research and Reviews : A Journal of Immunology · Vol. 2, Issue 3, 2012 · pp. 1–7 Read article
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Chest Wall Tuberculosis: A Case Report
Abstract: Chest wall tuberculosis is a very rare form of tuberculosis. Its presentations often misguide the clinician for early diagnosis and produce a diagnostic dilemma. High index of suspicion and exposure to literature reports may be helpful for early diagnosis and treatment. Here, such a case of chest wall tuberculosis which was preliminary managed by many clinicians with variety of empirical diagnosis has been reported. Even the FNAC report from the …
Published in Research and Reviews : A Journal of Immunology · Vol. 4, Issue 3, 2014 · pp. 6–8 Read article
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Ki-67, S-100, Calretinine and Reticulin Profile of Adrenal Lesions and Their Correlations with Standard Histological Criteria
Abstract: Histological diagnosis of adrenal lesions is difficult and needs multiple approaches. Histopathological examinations of 31 adrenal specimens were categorized following Weiss and Pass method and scorings were done. Immunohistochemical and special stains were also performed. In the present study, the 12 medullary cases included pheochromocytoma, neuroblastoma, ganglioneuroma, metastasis to adrenal tissue and metstatic pheochromocytoma.19 cortical cases included cortical hyperplasia, adenomas, carcinomas, myelolipomas and one case of cortical carcinoma. Weiss score …
Published in Research and Reviews : A Journal of Immunology · Vol. 9, Issue 2, 2019 · pp. 30–35 Read article