A5082933983- Biomedical Text Mining and Ontologies
- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- Pharmacovigilance and Adverse Drug Reactions
- Semantic Web and Ontologies
- Genetics, Bioinformatics, and Biomedical Research
- Genomics and Rare Diseases
- Artificial Immune Systems Applications
- Genomics and Phylogenetic Studies
- Cell Image Analysis Techniques
- Topic Modeling
- Diabetes and associated disorders
- Web visibility and informetrics
- Scientific Computing and Data Management
- Data Quality and Management
- Skin and Cellular Biology Research
- Biomedical Ethics and Regulation
- Machine Learning in Healthcare
- Complex Network Analysis Techniques
- Multiple Sclerosis Research Studies
- Cellular transport and secretion
- Spatial and Panel Data Analysis
- Service-Oriented Architecture and Web Services
- Advanced Text Analysis Techniques
- Artificial Intelligence in Healthcare and Education
Systems, Applications & Products in Data Processing (Germany)
2018
Merck (Germany)
1997-2015
GlaxoSmithKline (Netherlands)
2000
The Gurdon Institute
1997
European Molecular Biology Laboratory
1997
Abstract Healthcare providers all over the world are faced with a single challenge: need to improve patient outcomes while containing costs. Drivers include an increasing demand for chronic disease management aging population, technological advancements and empowered patients taking control of their health experience. The digital transformation in healthcare, through creation rich data foundation integration technologies like Internet Things (IoT), advanced analytics, Machine Learning (ML)...
Abstract The sheer amount of information about potential adverse drug events publishedin medical case reports pose major challenges for safety experts toperform timely monitoring. Efficient strategies identification andextraction fromfree‐text resources are needed to support pharmacovigilance researchand pharmaceutical decision making. Therefore, this work focusses on theadaptation a machine learning‐based system the identificationand extraction event relations from MEDLINE casereports. It...
A medical intervention is a procedure or application intended to relieve prevent illness injury. Examples of interventions include vaccination and drug administration. After intervention, adverse events (AEs) may occur which lie outside the consequences intervention. The representation analysis AEs are critical improvement public health. Ontology Adverse Events (OAE), previously named Event (AEO), community-driven ontology developed standardize integrate data relating arising subsequent...
The BioCreative challenge evaluation is a community-wide effort for evaluating text mining and information extraction systems applied to the biological domain. biocurator community, as an active user of biomedical literature, provides diverse engaged end group tools. Earlier challenges involved many teams in developing basic capabilities relevant curation, but they did not address issues system usage, insertion into workflow adoption by curators. Thus III (BC-III), InterActive Task (IAT) was...
Abstract Background For selection and evaluation of potential biomarkers, inclusion already published information is utmost importance. In spite significant advancements in text- data-mining techniques, the vast knowledge space biomarkers biomedical text has remained unexplored. Existing named entity recognition approaches are not sufficiently selective for retrieval biomarker from literature. The purpose this study was to identify textual features that enhance effectiveness different...
Multiple sclerosis (MS) is a disease of central nervous system that causes the removal fatty myelin sheath from axons brain and spinal cord. Autoimmunity plays an important role in this pathology outcome body's own immune attacks on causing damage. The etiology partially understood response to treatment cannot easily be predicted. We presented results obtained using 8 genetically predisposed randomly chosen individuals reproducing both absence presence malfunctions Teff-Treg cross-balancing...
ABSTRACT Purpose The aim of this study was to assess the impact automatically detected adverse event signals from text and open‐source data on prediction drug label changes. Methods Open‐source effect were collected FAERS, Yellow Cards SIDER databases. A shallow linguistic relation extraction system (JSRE) applied for effects MEDLINE case reports. Statistical approach extracted datasets signal detection subsequent changes issued 29 drugs by UK Regulatory Authority in 2009. Results 76%...
Background In order to retrieve useful information from scientific literature and electronic medical records (EMR) we developed an ontology specific for Multiple Sclerosis (MS). Methods The MS Ontology was created using expert review under the Protégé OWL environment. We a dictionary with semantic synonyms translations different languages mining EMR. integrated other ontologies dictionaries (diseases/comorbidities, gene/protein, pathways, drug) into text-mining tool SCAIView. analyzed EMRs...
Chemical information extracted from the literature is of immense value for pharmaceutical and chemical industries in many areas, including supporting drug discovery, manufacturing processes, or intellectual property protection. However, exponential growth has made it increasingly difficult researchers to find they need within a reasonable time-frame. In order address this issue, large number text mining approaches have been developed that can extract different types literature. But lack...
Vaccines and drugs have contributed to dramatic improvements in public health worldwide. Over the last decade, there been efforts developing biomedical ontologies that represent various areas associated with vaccines drugs. These combined existing clinical terminology systems (e.g., SNOMED, RxNorm, NDF-RT, MedDRA, VO, OAE, AERO) could play significant roles on translational research. The first "Vaccine Drug Ontology Study of Mechanism Effect" workshop (VDOSME 2012) provided a platform for...
The analysis reported here describes detailed structural studies of endothiapepsin (the aspartic proteinase from Endothia parasitica), with and without bound inhibitors, human pepsin 3b. Comparison multiple crystal structures members the family has revealed small but significant differences in domain orientation different forms. In this paper, it is shown that these do not necessarily correlate presence or absence appear to stem at least partly contacts mediated by sulfate ions. However,...
A software suite, 'Java-based Molecular Biologists' Workbench' (JaMBW), has been developed in order to accomplish common bioinformatics tasks, and can be accessed at the URL: http://www.embl-heidelberg.de/JaMBW/. Java implementations are designed operate on any computer architecture. Furthermore, is independent of operating system, relying only availability a Virtual Machine (JVM) package. JVMs were initially implemented as software, but with creation processors, they now becoming available...
Abstract In this article we present an in silico method that automatically assigns putative functions to DNA sequences. The annotations are at increasingly conceptual level, up identifying general biomedical fields which the sequences could contribute. This bioinformatics data‐mining system makes substantial use of several resources: a locally stored MEDLINE ® database; manually built classification system; MeSH taxonomy; relational technology; and methods. Knowledge is generated from...