Search results for "Workflow"
showing 10 items of 133 documents
IT Solutions for Business Process Management
2018
In the paper are listed the main types of architectures of systems for business process management. Thus, we can identify several categories of such architectures, namely architectures of workflow management systems, flexible workflow management architectures, service-oriented architecture, advanced service composition, and data-driven approaches. As such, there are two of the five categories, namely architectures of workflow management systems and architectures of flexible workflow management systems, and a methodology is proposed for developing solutions for business process management.
Gene Set to Diseases (GS2D): disease enrichment analysis on human gene sets with literature data
2016
Large sets of candidate genes derived from high-throughput biological experiments can be characterized by functional enrichment analysis. The analysis consists of comparing the functions of one gene set against that of a background gene set. Then, functions related to a significant number of genes in the gene set are expected to be relevant. Web tools offering disease enrichment analysis on gene sets are often based on gene-disease associations from manually curated or experimental data that is accurate but does not cover all diseases discussed in the literature. Using associations automatically derived from literature data could be a cost effective method to improve the coverage of disease…
Actionable Molecular Targets in Cancer Liquid Biopsy
2017
The possibility to detect nucleic acid sequences in the bloodstream deriving from an underlying tumor process has disclosed a unique opportunity in medical oncology. Whether the nucleic acid material is leaked in the blood at any step of cancer development (circulating tumor DNA or ctDNA) or it is obtained from isolated circulating tumor cells (CTCs), the detection and analysis of the meaningful sequence defects harbored in instrumental molecular targets (which we call liquid biopsy) constitutes an invaluable tool toward leading the current oncology practice toward a less invasive and fully personalized diagnostic-therapeutic workflow. In spite of the current technical limitations that liqu…
Towards More Sustainable Pavement Management Practices Using Embedded Sensor Technologies
2019
Road agencies are constantly being placed in difficult situations when making road maintenance and rehabilitation decisions as a result of diminishing road budgets and mounting environmental concerns for any chosen strategies. This has led practitioners to seek out new alternative and innovative ways of monitoring road conditions and planning maintenance routines. This paper considers the use of innovative piezo-floating gate (PFG) sensors and conventional strain gauges to continuously monitor the pavement condition and subsequently trigger maintenance activities. These technologies can help develop optimized maintenance strategies as opposed to traditional ad-hoc approaches, which often le…
PVAmpliconFinder: a workflow for the identification of human papillomaviruses from high-throughput amplicon sequencing
2019
Abstract Background The detection of known human papillomaviruses (PVs) from targeted wet-lab approaches has traditionally used PCR-based methods coupled with Sanger sequencing. With the introduction of next-generation sequencing (NGS), these approaches can be revisited to integrate the sequencing power of NGS. Although computational tools have been developed for metagenomic approaches to search for known or novel viruses in NGS data, no appropriate tool is available for the classification and identification of novel viral sequences from data produced by amplicon-based methods. Results We have developed PVAmpliconFinder, a data analysis workflow designed to rapidly identify and classify kno…
Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine.
2020
The ever-increasing amount of biomedical data is enabling new large-scale studies, even though ad hoc computational solutions are required. The most recent Machine Learning (ML) and Artificial Intelligence (AI) techniques have been achieving outstanding performance and an important impact in clinical research, aiming at precision medicine, as well as improving healthcare workflows. However, the inherent heterogeneity and uncertainty in the healthcare information sources pose new compelling challenges for clinicians in their decision-making tasks. Only the proper combination of AI and human intelligence capabilities, by explicitly taking into account effective and safe interaction paradigms,…
ADME Prediction with KNIME: Development and Validation of a Publicly Available Workflow for the Prediction of Human Oral Bioavailability.
2020
In silico prediction of human oral bioavailability is a relevant tool for the selection of potential drug candidates and for the rejection of those molecules with less probability of success during the early stages of drug discovery and development. However, the high variability and complexity of oral bioavailability and the limited experimental data in the public domain have mainly restricted the development of reliable in silico models to predict this property from the chemical structure. In this study we present a KNIME automated workflow to predict human oral bioavailability of new drug and drug-like molecules based on five machine learning approaches combined into an ensemble model. Th…
A Study Regarding the Use of Expert Systems in Economics Field
2013
Abstract Expert systems simulate the formal reasoning of human expert in a narrow field like stock trading. The traditional method is using IF-THEN rules. Nowadays, Belief Rule Base (BRB) expert systems are capable to perform reasoning based both qualitative and quantitative information. The paper presents a SWOT analysis of expert systems, emphasizing the opportunities the use of expert systems offers to economics field. Using expert systems in economics field provides strategic benefits like: competitive financial advantages, investment advisory, better organisation of workflow, back-up for key experts, training tool for new employees, diagnosis of critical aspects, prognosis of economic …
Radiomics: A New Biomedical Workflow to Create a Predictive Model
2020
‘Radiomics’ is utilized to improve the prediction of patient overall survival and/or outcome. Target segmentation, feature extraction, feature selection, and classification model are the fundamental blocks of a radiomics workflow. Nevertheless, these blocks can be affected by several issues, i.e. high inter- and intra-observer variability. To overcome these issues obtaining reproducible results, we propose a novel radiomics workflow to identify a relevant prognostic model concerning a real clinical problem. In the specific, we propose an operator-independent segmentation system with the consequent automatic extraction of radiomics features, and a novel feature selection approach to create a…
Galaxy-SynBioCAD: Synthetic Biology Design Automation tools in Galaxy workflows
2020
AbstractMany computer-aided design tools are available for synthetic biology and metabolic engineering. Yet, these tools can be difficult to apprehend, sometimes requiring a level of expertise that limits their use by a wider community. Furthermore, some of the tools, although complementary, rely on different input and output formats and cannot communicate with one another. Scientific workflows address these shortcomings while offering a novel design strategy. Among the workflow systems available, Galaxy is a web-based platform for performing findable and accessible data analyses for all scientists regardless of their informatics expertise, along with interoperable and reproducible computat…