Publications by authors named "Dingwang Wu"

Article Synopsis
  • * In a study that involved 7825 neoplasm cases and advanced algorithms, CAIMEN was tested across multiple centers, revealing strong performance with an area under the ROC curve of 0.973 for detection and a dice score of 0.765 for segmentation.
  • * CAIMEN's classification accuracy reached 52.3% for top-1 and 79.9% for top-3, outperforming human clinicians in some tests, proving its potential as a supportive tool in diagnosing mediast
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[] Using multi-omics research methods to explore cytolytic activity-related genes through the immunoregulatory factors HAVCR2 (TIM3) affecting the survival and prognosis of lung adenocarcinoma. [] We combined Cox single factor regression and lasso regression feature selection algorithm to screen out the key genes of cytolytic activity in lung adenocarcinoma, and applied multi-omics research to explore the clinical predictive value of the model, including onset risk, independent prognosis, clinical relevance, signal transduction pathways, drug sensitivity, and the correlation of immune regulatory factors, etc. TCGA data are used as the experimental group, and GEO data is used as the external data control group to verify the stability of the model.

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Article Synopsis
  • The study focused on understanding selective polyadenylation's role in immune cell behavior and prognosis in lung adenocarcinoma (LUAD) by analyzing mRNA expression data from 594 patients.
  • Researchers evaluated polyadenylation event characteristics along with immune cell infiltration and tumor purity, utilizing various analytical methods to predict patient outcomes and chemotherapeutic sensitivity.
  • Key findings revealed a prognostic model indicating immune scores significantly influenced LUAD patient survival, with specific gene clusters tied to immune cell types showing varied correlations with risk scores.
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Autophagy-related long-chain noncoding ribonucleic acids play a vital role in the development of esophageal adenocarcinoma. This study aimed to construct a prognostic model of autophagy-related long-chain noncoding ribonucleic acids and identify potential therapeutical targets for esophageal adenocarcinoma. We downloaded 261 long-chain noncoding RNA transcript samples and clinical data of 87 esophageal adenocarcinoma patients from the Cancer Genome Atlas and 307 autophagy-related genes from www.

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Coronavirus disease 2019 (COVID-19) experienced an outbreak that expanded worldwide. Lopinavir/ritonavir (LPV/r), which is used effectively for severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) coronavirus infections, was applied for COVID-19 treatment given similarities in the molecular structures of these viruses. We performed a systematic review and meta-analysis to evaluate the efficacy and safety of lopinavir/ritonavir antiviral treatment in patients with SARS, MERS, and COVID-19.

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Objectives: The objective of this study was to assess the reliability of online information, as provided by three major search engines in China, about the usage of antiepileptic drugs (AEDs) during pregnancy.

Method: Over eight weeks, six physicians conducted a literature search on six computers and six smartphones at a frequency of once per week. During each web search on each computer and smartphone, three major search engines in China were used, namely, Baidu, Sogou and 360.

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