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33 articles for “Prognostic”
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Case ReportOpen accessIn the abstractEmphysematous Pyelonephritis with Abscesses Masquerading as an Ordinary Urinary Tract InfectionTasnim F. Imran, Frederick Yick, Ahmed H. Qavi et al.Emphysematous Pyelonephritis (EPN) is a rare, gas-forming infection of the renal parenchyma associated with significant morbidity and mortality. We report the case of a 39 year-old woman with uncontrolled diabetes who presented with abdominal pain, fevers and chills for one month. Physical exam was notable for dry oral mucosa and left costovertebral angle tenderness. Labs showed acute kidney injury and … …American Journal of Infectious Diseases, Vol. 11, Issue 4 · 22 Oct 2015 · 7,746 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Biomarkers in Determining Prostate Cancer Diagnosis and PrognosisZuzana Varchulova Novakova, Katarina Bevizova, Iveta GasparovaThe clinical behavior and molecular pathology of prostate cancer is highly variable. Current "traditional" prognostic markers cannot reliably distinguish the potentially life-threatening cancer from indolent cancer. Identification of additional new predictors of cancer aggressiveness is therefore urgently required. This communication is aimed at a brief review of new biomarkers in prostate cancer diagnostics and prognostics. Pubmed systematic search was performed … …OnLine Journal of Biological Sciences, Vol. 14, Issue 4 · 14 Jan 2015 · 6,903 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOLLABORATION OF STATISTICAL METHODS IN SELECTING THE CORRECT MULTIPLE LINEAR REGRESSIONSAli Hussein Al-MarshadiThis article considers the analysis of Multiple Linear Regressions (MLRs) that are essential statistical method for the analysis of medical data in various fields of medical research like prognostic studies, epidemiological risk factor studies, experimental studies, diagnostic studies and observational studies. An approach is used in this article to select the "true" regression model with different sample sizes. We used … …Current Research in Biostatistics, Vol. 4, Issue 2 · 15 Sep 2014 · 7,791 accessesView PDFCite
Research ArticleOpen accessIn the abstractP53 Gene: Mutation and Immunohistochemical Analysis in Patients with Invasive Ductal Carcinoma of BreastShinjini Singh, Sandeep Kumar Rajput, Mritunjai Singh et al.The p53 tumor suppressor gene is the most commonly mutated gene in cancer. In breast cancer, the presence of p53 gene alterations has been associated with worse prognosis. This study was attempted to associate p53 gene mutations with its protein expression in North Eastern Indian population. We used single-stranded conformation polymorphism to screen samples for mutations in five conserved regions, … …American Journal of Biochemistry and Biotechnology, Vol. 9, Issue 4 · 20 Dec 2013 · 7,244 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of Inflammation in Development and Therapy of Malignant MesotheliomaArti Shukla, Jill MillerMalignant Mesothelioma (MM) is an asbestos related malignancy with a poor prognosis and limited therapeutic approaches. The pathogenesis of MM has been linked to asbestos induced inflammation. Asbestos exposure results in reactive oxygen species generation, infiltration of inflammatory cells and prolonged release of multiple cytokines, oxidants and growth factors. The role of inflammation in MM has led to the evaluation … …Current Research in Medicine, Vol. 3, Issue 2 · 30 Aug 2012 · 7,437 accessesView PDFCite
Research ArticleOpen accessIn the abstractRole of Angiotensin-Converting Enzyme and Vitamin D Receptor Gene Polymorphisms in Cancer Anorexia-Cachexia SyndromeAriele Fabris, Paolo Biagioni, Tiziana Punzi et al.The ubiquitin-proteasome pathway is a crucial connection between aberrant immune system activation, systemic inflammation and Cancer Anorexia-Cachexia Syndrome (CACS), a syndrome that culminates in hyper-activation of the ubiquitin-proteasome pathway. Angiotensin directly up-regulates this pathway, while vitamin D down-regulates it indirectly through the insulin-like growth factor-1 pathway. We investigated the genetic predisposition towards CACS in a cancer population, examining Insertion/Deletion (I/D) … …American Journal of Immunology, Vol. 8, Issue 3 · 2 Aug 2012 · 9,560 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasures of Explained Variation and the Base-Rate Problem for Logistic RegressionDinesh Sharma, Dan McGee, B.M. Golam KibriaProblem statement: Logistic regression, perhaps the most frequently used regression model after the General Linear Model (GLM), is extensively used in the field of medical science to analyze prognostic factors in studies of dichotomous outcomes. Unlike the GLM, many different proposals have been made to measure the explained variation in logistic regression analysis. One of the limitations of these measures … …Current Research in Biostatistics, Vol. 2, Issue 1 · 25 Feb 2012 · 8,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigations in the molecular events of Transitional Cell Carcinoma of the BladderH.S. Kadhim, A.S. Abdulamir, R.R. Hafidh et al.Problem Statement: Transitional Cell Carcinoma (TCC) of the bladder is a significant health problem worldwide. The molecular mechanisms of tumor development and progression are complicated but likely involve the interaction of tumor suppressor genes, oncogenes, cell cycle regulatory proteins and other factors. Hence this study tries to explore the role of p53, bcl-2, c-myc and Ki-67 in TCC of the … …American Journal of Biochemistry and Biotechnology, Vol. 4, Issue 4 · 31 Dec 2008 · 7,528 accessesView PDFCite
Research ArticleOpen accessIn the abstractUMPM-Net: A Multimodal Deep Learning Framework for Colorectal Cancer PrognosisK. Muthuchamy, S K. Piramu PreethikaColorectal cancer (CRC) is one of the most common cancers worldwide, for which early prediction of patient outcomes is important for personalised treatment planning and to improve survival. However, current prediction systems are limited in the fact that they are based on single-modality data and cannot capture the complex interactions between clinical, imaging, and genomic factors. To overcome these shortcomings, … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 613 accessesView PDFCite
Review ArticleOpen accessIn the abstractMachine Learning Advancements for Lung Cancer Detection: An In-Depth Review and Future ProspectsAanchal Vij, Kuldeep Singh Kaswan, Anand NayyarLung cancer is a major cause of cancer-related mortality globally, underscoring the necessity for efficient diagnostic instruments. The review paper summarizes the role of ML and DL in detection, staging, and prognostication of lung cancer. We evaluate the relative efficacy of several models, such as CNNs, SVMs, and ensemble approaches, by analyzing publically accessible imaging and molecular information. We emphasize … …Journal of Computer Science, Vol. 22, Issue 1 · 1 Mar 2026 · 1,794 accessesView PDFCite