Zobrazeno 1 - 10
of 2 497
pro vyhledávání: '"Shiny"'
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background Cluster randomized trials (CRTs) are increasingly important for evaluating interventions embedded in health care systems. An essential parameter in sample size calculation to detect both overall and heterogeneous treatment effects
Externí odkaz:
https://doaj.org/article/34136de07e234a2f8647bb3b26d029cc
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 752-758 (2024)
Gastric cancer (GC) is one of the most commonly diagnosed malignancies, threatening millions of lives worldwide each year. Importantly, GC is a heterogeneous disease, posing a significant challenge to the selection of patients for more optimized ther
Externí odkaz:
https://doaj.org/article/9d45be7013df4f9d9e2a2db042b00fc5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Acute appendicitis is a typical surgical emergency worldwide and one of the common causes of surgical acute abdomen in the elderly. Accurately diagnosing and differentiating acute appendicitis can assist clinicians in formulating a scientifi
Externí odkaz:
https://doaj.org/article/feada03a1a9b4e08812fa6bffcb20436
Autor:
Jasper Zhongyuan Zhang, Juan David Rios, Tilemanchos Pechlivanoglou, Alan Yang, Qiyue Zhang, Dimitrios Deris, Ian Cromwell, Petros Pechlivanoglou
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Decision analytic models and meta-analyses often rely on survival probabilities that are digitized from published Kaplan–Meier (KM) curves. However, manually extracting these probabilities from KM curves is time-consuming, expen
Externí odkaz:
https://doaj.org/article/bb21ce7da26d4077b82f93c7fd32c9f0
Autor:
Sarah Troise, Granger Morgan
Publikováno v:
SoftwareX, Vol 27, Iss , Pp 101764- (2024)
This paper introduces Grid2050, a web-based decision support framework that allows users to build and assess US low-carbon electricity generation portfolios for 2050. Although base assumptions from various sources are integrated into the tool to supp
Externí odkaz:
https://doaj.org/article/f2073a1bdeb84c4bbbf9e39251c476b0
Publikováno v:
SoftwareX, Vol 27, Iss , Pp 101800- (2024)
Research output from inter- and trans-disciplinary research projects is challenging to store, link, analyze, and communicate among stakeholders and researchers from other fields. Datasets, models, and methods are often non-interactive, hard to access
Externí odkaz:
https://doaj.org/article/a4810c16233240239a9f8ee744ac5d48
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102583- (2024)
The structured light measurement method is applied in quality control across various sectors including manufacturing, medicine, fashion, and technology. This approach facilitates the generation of rapid and consistent evaluation reports by analyzing
Externí odkaz:
https://doaj.org/article/5ffb56a615fe453f91bc5213c8e39c18
Autor:
Naima Bel Mokhtar, Elias Asimakis, Ioannis Galiatsatos, Amal Maurady, Panagiota Stathopoulou, George Tsiamis
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 5, Pp 4803-4814 (2024)
Over the last decades, the analysis of complex microbial communities by high-throughput sequencing of marker gene amplicons has become routine work for many research groups. However, the main challenges faced by scientists who want to make use of the
Externí odkaz:
https://doaj.org/article/628f41eab52c407280a426684efb6438
Autor:
Garth L. Kong, Thai T. Nguyen, Wesley K. Rosales, Anjali D. Panikar, John H. W. Cheney, Theresa A. Lusardi, William M. Yashar, Brittany M. Curtiss, Sarah A. Carratt, Theodore P. Braun, Julia E. Maxson
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background The rapid advancement of new genomic sequencing technology has enabled the development of multi-omic single-cell sequencing assays. These assays profile multiple modalities in the same cell and can often yield new insights not rev
Externí odkaz:
https://doaj.org/article/5f9df1b734eb426b9479c83d4a912b37