Academic literature on the topic 'Renal Prognosi'

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Journal articles on the topic "Renal Prognosi"

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Silva, G. E. B., R. S. Costa, R. C. Ravinal, M. A. dos Reis, M. Dantas та T. M. Coimbra. "Mast Cells, TGF-β1 andα-SMA Expression in IgA Nephropathy". Disease Markers 24, № 3 (2008): 181–90. http://dx.doi.org/10.1155/2008/725408.

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IgA nephropathy (IgAN) is a kidney disease with a varying renal prognosis. Recently, many studies have demonstrated that renalα-smooth muscle actin (α-SMA) and transforming growth factor (TGF-β1) expression, as well interstitial mast cell infiltrates could represent a prognostic marker in several renal diseases. The aim of our study was to analyze the prognostic value of mast cell, TGF-β1 andα-SMA expression in IgAN. A survey of the medical records and renal biopsy reports of 62 patients with a diagnosis of IgAN followed-up from 1987 to 2003 was performed. The mean follow-up time was 74.7±50.0
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Ye, Dayong, Jingxian Luo, Yujie Wang, Mingqiang Su, Dayong Zhang, and Dengjun Han. "Prognostic Value and Clinical Significance of Vesicular Transport-Related Genes in Clear Cell Renal Cell Carcinoma." Kidney and Blood Pressure Research 49, no. 1 (2024): 410–29. http://dx.doi.org/10.1159/000539095.

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Introduction: Vesicular transport (VT) has a complex relationship with tumor progression and immunity. But prognostic significance of VT in clear cell renal cell carcinoma (ccRCC) is unclear. Thus, we aimed to establish a prognostic model according to VT to predict overall survival of ccRCC patients. Methods: We used patient data from TCGA database and built a prognostic model with 13 VT-related genes (VTRGs) by differential expression analysis, LASSO regression, and univariate/multivariate Cox analysis. The model was validated internally and externally, and survival analysis and ROC curves de
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Pierscianek, Daniela, Marvin Darkwah Oppong, Yahya Ahmadipour, et al. "Electrolyte and renal disorders in patients with newly diagnosed glioblastoma." Future Oncology 17, no. 34 (2021): 4711–19. http://dx.doi.org/10.2217/fon-2020-1312.

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Purpose: Disturbances of electrolytes and renal function have been linked to the prognosis of critically ill patients and recently also of cancer patients. This study aimed to assess electrolyte and renal disorders in glioblastoma patients and evaluate their prognostic effect. Methods: Medical records of patients with newly diagnosed glioblastoma between 2005 and 2018 were retrospectively reviewed for electrolyte and renal function parameters and for demographic, clinical and outcome parameters. Results: Electrolyte and renal function disorders were associated with poorer survival in univariat
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Kalowes, Peggy. "Improving End-of-Life Care Prognostic Discussions." AACN Advanced Critical Care 26, no. 2 (2015): 151–66. http://dx.doi.org/10.4037/nci.0000000000000086.

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Research has validated the desire of patients and families for ongoing prognostic information; however, few conversations occur before patients reach the advanced stages of their disease trajectory. Physician hesitance and delay in discussing unfavorable prognoses deny patients and families optimal time to prepare for critical decision making. Advanced practice registered nurses can play a crucial, complementary role with the critical care interdisciplinary team to implement strategies to improve communication about prognosis and end of life with patients and families. Clinicians should discus
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Peng, Xiqi, Xiang Pan, Kaihao Liu, et al. "miR-142-3p as a novel biomarker for predicting poor prognosis in renal cell carcinoma patients after surgery." International Journal of Biological Markers 34, no. 3 (2019): 302–8. http://dx.doi.org/10.1177/1724600819866456.

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Background: miR-142-3p has proved to be involved in tumorigenesis and the development of renal cell carcinoma. The present study aimed to explore the prognostic value of miR-142-3p. Methods: Total RNA was extracted from renal cell carcinoma specimens and the expression level of miR-142-3p was measured. Pearson Chi-square test, Kaplan–Meier analysis, as well as univariate and multivariate regression analysis were performed to determine the correlation between miR-142-3p and the prognosis of renal cell carcinoma patients. Receiver operating characteristic curves were constructed to evaluate the
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T J, Dr Cicily. "Aetiology and Prognosis in Pregnancy Related Acute Renal Failure." Journal of Medical Science And clinical Research 05, no. 03 (2016): 19299–305. http://dx.doi.org/10.18535/jmscr/v5i3.155.

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Li, Xinxin, Qihui Kuang, Min Peng, Kang Yang, and Pengcheng Luo. "Basement Membrane-Associated lncRNA Risk Model Predicts Prognosis and Guides Clinical Treatment in Clear Cell Renal Cell Carcinoma." Biomedicines 11, no. 10 (2023): 2635. http://dx.doi.org/10.3390/biomedicines11102635.

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The basement membrane (BM) affects the invasion and growth of malignant tumors. The role and mechanism of BM-associated lncRNAs in clear cell renal cell carcinoma (ccRCC) are unknown. In this study, we identified biomarkers of ccRCC and developed a risk model to assess patient prognosis. We downloaded transcripts and clinical data from the Cancer Genome Atlas (TCGA). Differential analysis, co-expression analysis, Cox regression analysis, and lasso regression were used to identify BM-associated prognostic lncRNAs and create a risk prediction model. We evaluated and validated the accuracy of the
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Jiang, Aimin, Yewei Bao, Anbang Wang, et al. "Establishment of a Prognostic Prediction and Drug Selection Model for Patients with Clear Cell Renal Cell Carcinoma by Multiomics Data Analysis." Oxidative Medicine and Cellular Longevity 2022 (January 4, 2022): 1–30. http://dx.doi.org/10.1155/2022/3617775.

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Rationale. Patients with clear cell renal cell cancer (ccRCC) may have completely different treatment choices and prognoses due to the wide range of heterogeneity of the disease. However, there is a lack of effective models for risk stratification, treatment decision-making, and prognostic prediction of renal cancer patients. The aim of the present study was to establish a model to stratify ccRCC patients in terms of prognostic prediction and drug selection based on multiomics data analysis. Methods. This study was based on the multiomics data (including mRNA, lncRNA, miRNA, methylation, and W
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Schiavone, D., A. Isgrò, F. Migliorini, et al. "Prognostic value of clinical parameters for renal cell carcinoma." Urologia Journal 64, no. 2 (1997): 156–64. http://dx.doi.org/10.1177/039156039706400202.

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– Clinical evaluation of patients with kidney tumours should provide several parameters with possible prognostic value, such as age, sex, incidental discovery, duration of symptoms, weight loss, fever, disease-free interval, performance status, elevated ESR, hypercalcemia, elevated gamma-enolase, local tumour extension, invasion of renal vein and inferior vena cava, lymphatic metastases, distant metastases, tumour dimension, multicentricity, bilaterality and growth velocity. Some of these factors correlate to prognosis in univariate statistical analysis; in multivariate analysis, however, tumo
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Hatakeyama, Shingo, Hiromi Murasawa, Itsuto Hamano, et al. "Prognosis of Elderly Japanese Patients Aged ≥80 Years Undergoing Hemodialysis." Scientific World Journal 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/693514.

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Although the number of elderly patients requiring dialysis has increased, data regarding the prognosis of elderly patients undergoing hemodialysis are limited. In the present study, prognosis in Japanese hemodialysis patients aged ≥80 years was evaluated. From January 1988 to July 2013, 1144 consecutive patients with end-stage renal disease required renal replacement therapy at our institution; of these, 141 were aged ≥80 years. These patients’ charts were retrospectively reviewed for relevant clinical variables and survival time. The life expectancies table from the National Vital Statistics
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Dissertations / Theses on the topic "Renal Prognosi"

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Yamamoto, Shinya. "Spatiotemporal ATP Dynamics during AKI Predict Renal Prognosis." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263351.

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Al-Sharhan, Mouza Abdulla. "Prognostic factors in renal cell carcinoma." Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285788.

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Sawhney, Simon Amrit. "Long term outcomes of acute kidney injury : establishing prognosis to design optimal management." Thesis, University of Aberdeen, 2017. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=236457.

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Acute kidney injury (AKI) is serious and complicates up to 1 in 7 hospital admissions. It is usually diagnosed from rapidly deteriorating blood tests. Much of the focus of clinical research into AKI has been on strategies to improve recognition and timely intervention. However, emerging evidence suggests that even when people survive AKI, they remain at an elevated risk of poor long-term outcomes. The aim of this thesis was to determine which people with AKI have an ongoing increased risk of poor outcomes (mortality, kidney failure, recurrent illness episodes) after hospital discharge. The des
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Sandlund, Johanna. "Angiogenesis in human renal cell carcinoma : hypoxia, vascularity and prognosis." Doctoral thesis, Umeå : Univ, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1331.

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Ronkainen, H. L. (Hanna-Leena). "Novel prognostic biomarkers for renal cell carcinoma." Doctoral thesis, Oulun yliopisto, 2012. http://urn.fi/urn:isbn:9789514297731.

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Abstract Background and aims: Stage and grade are the most widely used prognostic parameters for renal cell carcinoma (RCC). The clinical course of this disease is not, however, always predictable by traditional prognostic factors. In the era of new molecular targeted therapies a more accurate prognostication of RCC patient survival is important for the individualization of treatment and follow-up of patients. Despite exhaustive research there are still no prognostic biomarkers for RCC in clinical practice. In order to find novel prognostic tissue markers for RCC, we examined the expression of
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Laird, Alexander. "Molecular prognostic markers in renal cell carcinoma." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/17873.

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Renal cell carcinoma (RCC) is the most deadly of urological malignancies. While metastatic disease affects one third of patients at diagnosis, a further third of patients who undergo extirpative surgery with curative intent subsequently develop metastatic disease. Inconsistency in the clinical course ensures predicting subsequent metastasis is notoriously difficult, despite the routine use of prognostic clinico-pathological parameters in risk stratification. With greater understanding of pathways involved in disease pathogenesis, a number of biomarkers have been proposed to be of prognostic si
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Takaori, Koji. "Severity and Frequency of Proximal Tubule Injury Determines Renal Prognosis." Kyoto University, 2018. http://hdl.handle.net/2433/232126.

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Chen, Dong. "Identification of new prognostic markers in renal cell carcinoma." Diss., Ludwig-Maximilians-Universität München, 2014. http://nbn-resolving.de/urn:nbn:de:bvb:19-168397.

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The clinical course of renal cell carcinoma (RCC) shows a high variability. Prognostic markers are essential to enable an individualized therapeutic strategy. The objective of this study was the identification of novel independent prognostic markers and potential therapeutic targets in RCC. The focus was on genes involved in epithelial-mesenchymal transition (EMT) and cancer stem cell biology. EMT enhances tumor cell motility and hence plays a critical role in invasion and metastasis in various carcinomas. A set of transcription factors acts as master regulators of EMT. Whether EMT is import
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Bartrolí, Comellas Mariona. "Prognostic markers and therapeutic targets for metastatic renal cell carcinoma." Doctoral thesis, Universitat de Barcelona, 2018. http://hdl.handle.net/10803/664198.

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Targeting cancer metastasis has gained considerable importance in the recent years when aiming to increase patients’ overall survival. In Renal Cell Carcinoma (RCC), the discovery of metastatic biomarkers and targets is still required, as most patients present metastatic disease at the time of diagnosis. Therefore, the aim of this thesis is the discovery of new biomarkers and targets of metastatic RCC using two variants of a patient-derived orthoxenograft (PDOX) animal model of clear cell RCC (ccRCC). Indeed, PDOX models have recently gained significant relevance for studying the progressio
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Pontillo, Claudia [Verfasser]. "Clinical peptidomics for non-invasive diagnosis and prognosis of renal diseases / Claudia Pontillo." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2017. http://d-nb.info/1133492622/34.

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Books on the topic "Renal Prognosi"

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Ljungberg, Börje. DNA content in renal cell carcinoma: A clinical study with special reference to tumor heterogeneity and prognosis. [s.n.], 1986.

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Cherdanceva, Tat'yana, Vladimir Klimechev, and Igor' Bobrov. Pathological and molecular biological analysis of renal cell carcinoma. Diagnosis and prognosis. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1020785.

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The monograph is devoted to the study of pathomorphological and molecular-biological characteristics of renal cell carcinoma and peritumoral zone depending on the degree of malignancy, and determine prognostic significance of criteria for predicting the postoperative survival of patients.
 Of interest to urologists, oncologists, pathologists, researchers, graduate students, dealing with the diagnosis of renal cell carcinoma and subsequent prediction of postoperative survival of patients.
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Ferreira, Maria Alice Sperto. Prognostic value of morphometry of chronic damage in renal biopsy specimens. University of Birmingham, 2000.

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Schrörs, Michael. Analyse und Prognose von Bodenpreisen mit Zeitreihenmodellen: Dargestellt am Beispiel des Marktes für landwirtschaftliche Grundstücke in Schleswig-Holstein. Vauk, 1990.

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Hayat, M. A. Methods of Cancer Diagnosis, Therapy, and Prognosis: Ovarian Cancer, Renal Cancer, Urogenitary tract Cancer, Urinary Bladder Cancer, Cervical Uterine Cancer, Skin Cancer, Leukemia, Multiple Myeloma and Sarcoma. Springer Science+Business Media B.V., 2010.

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Kennedy, Paul M. Preparing for the twenty-first century. HarperCollins, 1993.

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Kennedy, Paul M. al-Iʻdād lil-Qarn al-Wāḥid wa-al-ʻIshrīn. al-Dār al-Jamāhīrīyah, 1998.

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Kennedy, Paul M. Preparing for the twenty-first century. Vintage Books, 1994.

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Kennedy, Paul. Préparer le XXIe siècle. O. Jacob, 1994.

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1945-, Gilbert Richard J., and Jacquemin Alexis, eds. Barriers to entry and strategic competition. Routledge, 2001.

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Book chapters on the topic "Renal Prognosi"

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Barratt, T. M., J. Fay, and S. P. A. Rigden. "Prognosis of Renal Disease in Infancy." In Chronic Renal Disease. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-4826-9_36.

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Gospodarowicz, M. K., and J. E. Montie. "Renal Cell Carcinoma." In Prognostic Factors in Cancer. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79395-0_26.

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Stensland, Kristian D., and Michael W. Kattan. "Outcomes: Prognostic Factors, Models, and Algorithms." In Renal Cancer. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24378-4_20.

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Isariyawongse, Brandon K., and Michael W. Kattan. "Outcomes: Prognostic Factors, Models, and Algorithms." In Renal Cancer. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7236-0_19.

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Segev, Gilad. "Prognosis of Acute Renal Failure." In Nephrology and Urology of Small Animals. John Wiley & Sons, Ltd., 2014. http://dx.doi.org/10.1002/9781118785546.ch50.

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Polzin, David J. "Prognosis of Renal Failure-Chronic." In Nephrology and Urology of Small Animals. John Wiley & Sons, Ltd., 2014. http://dx.doi.org/10.1002/9781118785546.ch51.

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Tonnesen, Alan S. "Prognosis Following Acute Renal Failure." In What’s New in Anesthesiology. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2689-9_14.

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Keane, William F. "Metabolic Pathogenesis of Cardio-Renal Disease." In Improving Prognosis for Kidney Disorders. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-1848-6_4.

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Nogueira, Mark, and Hyung L. Kim. "Molecular Markers for Predicting Prognosis of Renal Cell Carcinoma." In Renal Cell Carcinoma. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-332-5_24.

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Vickers, Michael M., and Daniel Y. C. Heng. "Prognostic Factors in Advanced Renal Cell Carcinoma." In Renal Cell Carcinoma. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-062-5_14.

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Conference papers on the topic "Renal Prognosi"

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Harika Karibandi, Vekata Sai Lakshmi, V. Jyothi, Abhijeeth Adepu, Yeshwanth Adla, Nigam Challa, and Yashraj Thomas. "Gesture Prognosis: Interactive Sign Language Learning using Real-Time Gesture Recognition." In 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS). IEEE, 2024. https://doi.org/10.1109/icuis64676.2024.10866648.

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Oshima, Yusuke, Akinori Taketani, Shota Yonezawa, et al. "Characterization of bone marrow cells for prognosis prediction of multiple myeloma using Raman spectroscopy with optimal discriminant model." In Optical Biopsy XXIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, edited by Robert R. Alfano, Angela B. Seddon, Lingyan Shi, and Binlin Wu. SPIE, 2025. https://doi.org/10.1117/12.3046725.

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Dong, Yifan, Tangbin Xia, Lei Xiao, Ershun Pan, and Lifeng Xi. "Real-Time Prognostic and Dynamic Maintenance Window Scheme for Reconfigurable Manufacturing Systems." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-2753.

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Abstract Real-time condition acquisition and accurate time-to-failure (TTF) prognostic of machines are both crucial in the condition based maintenance (CBM) scheme for a manufacturing system. Most of previous researches considered the degradation process as a population-specific reliability characteristics and ignored the hidden differences among the degradation process of individual machines. Moreover, existing maintenance scheme are mostly focus on the manufacturing system with fixed structure. These proposed maintenance scheme could not be applied for the reconfigurable manufacturing system
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Kakati, Pallabi, Devendra Dandotiya, and Rajendrakumar Savanur. "Online Automatic Degradation Diagnosis of Gas Turbine Bearings Based on Unsupervised Machine Learning." In ASME 2019 Gas Turbine India Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gtindia2019-2367.

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Abstract The bearing prognostic analysis plays a critical role in improving the reliability of any rotational engine. In data-driven methods, used in such bearing prognosis, real time bearing vibrational data can be acquired from a set of sensors. In literature, many supervised learning techniques have been proposed to analyze this data. However, the labelled training data required for such a supervised technique is not always available in real life. Therefore, in this work, an unsupervised learning technique based on adaptive resonance theory 2 (ART2) has been used for bearing vibrational sig
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Zahid, Muhammad Ammar, and Abdelali Agouni. "Identification of a miRNA signature as a diagnostic and prognostic marker in renal cell carcinoma." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2021. http://dx.doi.org/10.29117/quarfe.2021.0109.

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Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma (RCC). If diagnosed in later stages, ccRCC is associated with high renal cancer related morbidity and poor prognosis. Recently, microRNAs (miRNAs) have attracted interest as potential diagnostic and prognostic biomarkers due to their important role in cancer development and progression. Availability of big omics data in the cancer genome atlas (TCGA) coupled with data mining and machine learning have revolutionized the identification of robust diagnostic and prognostic signatures in different types of ca
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Silva, Julio Augusto, Osvaldo Jose´ Venturini, Electo Eduardo Lora, Jose´ Joaquim Santos, and Alexandre Ferreira Pinho. "Relevant Points for Thermodynamic Diagnosis Application Using the Reconciliation Method." In ASME Turbo Expo 2009: Power for Land, Sea, and Air. ASMEDC, 2009. http://dx.doi.org/10.1115/gt2009-59633.

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After some hours of operation, every power plant’s equipment begins to show degraded performance. The amount of equipment degradation and the gain that can be achieved in plant heat rate and power generation by the replacement or repairing of each component is important information for proper plant maintenance management. This paper aims to show how diagnosis and prognosis of a power plant can be performed based on thermodynamic data measured by plant instrumentation on site. Some important points such as how to increase the accuracy of the prognostic by developing the complete Taylor series a
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Yu, Bo Yang, Tomonori Honda, Gina M. Zak, et al. "Prognosis of Component Degradation Under Uncertainty: A Method for Early Stage Design of a Complex Engineering System." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82420.

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This paper proposes a method that dynamically improves a statistical model of system degradation by incorporating uncertainty. The method is illustrated by a case example of fouling, or degradation, in a heat exchanger in a cogeneration desalination plant. The goal of the proposed method is to select the best model from several representative condenser fouling models including linear, falling rate, and asymptotic fouling, and to validate and improve model parameters over the duration of operation. Maximum likelihood estimation (MLE) was applied to obtain a stochastic distribution of condenser
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Kohli, Manish, Winston Tan, Lea Payen, et al. "Abstract 2289: Prognostic impact of progastrin levels in blood compared to MSKCC based clinical prognosis in metastatic renal cell cancer patients." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-2289.

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Kohli, Manish, Winston Tan, Lea Payen, et al. "Abstract 2289: Prognostic impact of progastrin levels in blood compared to MSKCC based clinical prognosis in metastatic renal cell cancer patients." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.am2019-2289.

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Pires, Bruno Ricardo Barreto, Paulo Rohan, Caroline Borges-de-Almeida, Rafael Cardoso Maciel Costa Silva, Renata Binato, and Eliana Abdelhay. "Comprehensive analysis of TWIST1 in breast cancer and other carcinomas: an association with prognosis and tumor microenvironment." In Brazilian Breast Cancer Symposium 2024. Mastology, 2024. http://dx.doi.org/10.29289/259453942024v34s1063.

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Objective: Metastasis is the main cause of death in patients with carcinomas. This process depends on a phenotypic alteration known as epithelial–mesenchymal transition (EMT), regulated by transcription factors (TFs), including TWIST1, whose increased levels have been described in several carcinomas, including breast cancer. However, a comprehensive analysis of its expression to elucidate its predictive value still needs to be performed. This study aimed to understand the prognostic value of TWIST1 expression and its biological relevance for tumor microenvironment (TME) in breast cancer and ot
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Reports on the topic "Renal Prognosi"

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Zhou, Xiao, and Guangcheng Luo. A meta-analysis of platelet-lymphocyte ratio: a merit attention prognostic factor in renal cell carcinoma. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.9.0064.

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Cao, Liang, Dong Lin, Tinghui Hu, et al. Diagnostic and Prognostic Value of Circulating Tumor Cells in Renal Cell Cancer: A systematic review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2020. http://dx.doi.org/10.37766/inplasy2020.9.0007.

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Zhou, Xiao, and Guangcheng Luo. Whether the consistency of tumor thrombus has prognostic significance in patients with renal cell carcinoma—a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.2.0015.

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Letcher, Theodore, and Julie Parno. Incorporating advanced snow microphysics and lateral transport into the Noah-Multiparameterization (Noah-MP) land surface model. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47660.

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The dynamic state of the land surface presents challenges and opportunities for military and civil operations in extreme cold environments. In particular, the effects of snow and frozen ground on Soldier and vehicle mobility are hard to overstate. Current authoritative weather and land models are run at global scales (i.e., dx > 10 km) and are of limited use at the Soldier scale (dx < 100 m). Here, we describe several snow physics upgrades made to the Noah-Multiparameterization (Noah-MP) community land surface model (LSM). These upgrades include a blowing snow overlay to simulate the lat
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Avihingsanon, Yingyos, Jongkonnee Wongpiyabovorn, and Nattiya Hirankarn. Biomarker discovery in systemic lupus erythematosus: genome-methylation approaches : Research report. Chulalongkorn University, 2010. https://doi.org/10.58837/chula.res.2010.15.

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Discovery of novel biomarkers in lupus nephritis Biomarkers are needed for making diagnosis and prognosis. In lupus nephritis, conventional tests like urinalysis or serum creatinine remain inadequate for patient care. In this proposal, we focused on non-invasive tools like blood and urine mRNAs or proteins. We chose candidate genes involving regulatory T-cell, B-lymphocyte signatures or vascular protective factors. Expression of regulatory cell signature (FOXP3) in peripheral blood mononuclear cells is associated with activity of lupus nephritis. We found FOXP3 mRNA levels in PBMCs from patien
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