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15 articles for “Prognostic significance”
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An Insight to Hyponatremia in Cirrhosis: Pathophysiology and Management Approaches
Abstract: Cirrhosis is considered by systemic and splanchnic vasodilation that principals to extreme nonosmotic excretion of vasopressin. Hyponatremia is a mutual electrolyte irregularity in progressive liver disease that outcomes from the diminished capability of the kidney to excrete solute-free water that principals to “dilutional” hyponatremia water retention uneven to the retaining of sodium. Hyponatremia is mutual in cirrhosis. It frequently happens in a progressive phase of the disease and is related …
Published in Research and Reviews : A Journal of Immunology · Vol. 10, Issue 3, 2020 · pp. 30–46 Read article
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Examining Connective Tissue Changes Across Various Grades of Oral Epithelial Dysplasia and Oral Squamous Cell Carcinoma: A Histochemical Polymeric Investigation
Abstract: Oral epithelial dysplasia (OED) and oral squamous cell carcinoma (OSCC) represent a spectrum of potentially malignant disorders posing significant challenges in diagnosis and management. The tumor microenvironment, particularly alterations in the connective tissue, plays a crucial role in the progression of these lesions. This histochemical investigation comprised with embedded polymers aimed to examine connective tissue changes across various grades of oral epithelial dysplasia (OED) and oral squamous cell carcinoma (OSCC). …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 124–137 Read article
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Development of a Machine Learning and Artificial Intelligence Based Model Aimed at Forecasting the Prognostic Impact of C-Reactive Protein in Myocarditis
Abstract: The specific role of inflammation markers in myocarditis remains uncertain. We investigated the diagnostic and prognostic significance of C-reactive protein (CRP) levels at the initial diagnosis among myocarditis patients. Our retrospective study enrolled patients clinically suspected (CS) or biopsy-proven (BP) with myocarditis, with available CRP data at diagnosis. We collected patient information, including clinical, laboratory, and imaging findings at diagnosis and follow-up visits. We utilized machine learning methods, specifically random …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 12–24 Read article
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Utilizing circulation-derived cancer cells to evaluate patients with surgically treated stages I–IIIA NSCLC throughout the preoperative phase
Abstract: Context: When a tumor is considered resectable, surgery is viewed as the primary treatment approach for both early-stage and locally advanced non-small cell lung cancer (NSCLC). One of the most exciting areas of cancer research in the past ten years is liquid biopsy, which offers a practical non-invasive method for cancer detection and tracking. Circulating tumor cells (CTCs) have been linked to a worse prognosis and increased chance of relapse …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 3, 2024 · pp. 17–28 Read article
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Treatment of Acute RVMI Complicated by High-Grade Bradycardia-Induced Shock Using Pacing-PTCA-ICT Combination
Abstract: Acute RVMI (right ventricular myocardial infarction), which would be possibly followed by bradycardia-induced shock, may perpetuate a vicious circle very quickly and result in short-term adverse outcomes as cardiac arrest and long-term outcomes as angina pectoris or recurrent myocardial infarction. In order to block this circle, emergent combination of temporary pacing and PTCA (percutaneous transluminal coronary angioplasty) may be necessary, and especially, in unexpected case that the occlused lesion is …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 19–23 Read article
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Principles of Interpolating Prognostication in Oncology
Abstract: AbstractThe precise prediction in oncology plays a critical role in prevention, treatment, assessment of the effectiveness of methods of treatment and treatment outcomes for cancer patients. Some medical researches claim that statistical processing (factor analysis) permits to precisely individualize the prognosis, which determines the possibility of an individual approach to monitoring and postoperative treatment of patients. However, factor analysis permits only creating a matrix of factors that can significantly describe …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 9, Issue 2, 2020 · pp. 39–51 Read article
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Screening of Mean Platelet Volume as a Prognostic Marker in Patients with Type 2 Diabetes Mellitus
Abstract: In this study platelets volume and its important role as a diagnostic marker was estimated in the prevalence of type 2 diabetes mellitus (T2DM) which are associated with mean platelet volume (MPV). The aim of the study was to investigate if platelets were activated in diabetes and its associated vascular complications by measuring the MPV in the diabetics compared to the non-diabetics, and to determine the correlation of MPV with …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 1, 2020 · pp. 47–52 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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Evaluation of Mammographic Breast Density in Benign and Malignant Breast Disease Patients
Abstract: The purpose of the study was to compare the breast density in benign breast disease and carcinoma of the breast and to evaluate the association between breast density and the Breast Imaging Reporting and Data Systems (BIRADS) score to investigate the potential of breast density as a prognostic indicator. In this study, histologically proven cases of 30 benign breast disease patients and 30 breast carcinoma patients were included. Breast density …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 Read article
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Assessing Taila Bindu Pariksha as a Diagnostic and Prognostic test for Diabetes Mellitus
Abstract: Ayurveda has consistently emphasised on not just treatment of a disease but also how to diagnose it and further assess the prognosis. Ayurveda is blessed with different diagnostic tests which is broadly classified into Roga and Rogi Pariksha such as Ashtavidha Pariksha, Dashavidha Pariksha and Dwadashavidha Pariksha. These tests are used very rarely by just few Ayurvedic practioners as an important diagnostic and prognostic methods in different diseases. Taila Bindu …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 2, 2026 · pp. 1–5 Read article
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Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Complications with Malware Identification in IoT and an Overview of Artificial Immune Approaches
Abstract: An immunity is facilitated by lymphocyte T&B-cells that possess a wide range of T&B-cell receptors, respectively. These cells can identify and react to pathogens and diseased cells by presenting peptide antigens by means of significant histocompatibility complexes (MHCs). The amount of data on the repertoire of adaptive immune receptors has increased dramatically in recent years because to advancements in deep sequencing. Furthermore, the presentation of peptides with MHC has been …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 1, 2024 · pp. 54–62 Read article
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A Study on the Use of AI and Sensors in Aerospace
Abstract: The synergistic combination of modern sensors including artificial intelligence (AI) has significantly changed the aeronautics industry's ongoing quest for increased safety, efficiency, and autonomy. The examination of the critical role these technologies play throughout the whole aerospace lifecycle from design and production to flight operations and maintenance is examined in this research. The eyes and ears of contemporary aircraft, sensors give an unparalleled amount and quality of real-time data about …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 25–34 Read article
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Correlation of Ki-67 Score with Nottingham Histological Grading in Carcinoma Breast: A Single Institution Experience
Abstract: Though it is reasonably well established that Ki-67 positivity is an independent predictor of ultimate prognosis and course of carcinoma breast and its recurrence, many lacunae exist. Ki -67 score correlation with histological grading will establish importance of nuclear antigen Ki-67 as prognostic factor in Indian population. This study was aimed to assess histological grading of breast carcinoma by Nottingham Grading System (Modified Scarff- Bloom- Richardson system) and to correlate …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 6, Issue 1, 2017 · pp. 1–5 Read article
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Utility of Abbreviated Burn Scoring Index in Predicting Mortality in Burn Patients – Our Experience
Abstract: The prediction of the outcome of patients presenting with severe burns is crucial in guiding clinical judgments. There are multiple models for predicting burn mortality that have been developed over a period of time. Advancements in burn management over the past few decades have led to a remarkable reduction in burn-related morbidity and mortality worldwide. Improvements in critical care, fluid resuscitation protocols, infection control measures, nutritional support, early wound excision …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 2, 2026 · pp. 49–53 Read article