Mathias Brochhausen
Sourced from institutional research profiles (UAMS TRI or ARA).
Role not yet determined
Also affiliated: Universidade Federal de Minas Gerais (2017); University of Arkansas Medical Center (2019–2023); University of Florida Health (2019–2021); Baze University (2023); University of Florida (2019–2021); University of Regensburg (2021); Saarland University (2006–2012)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Mathias Brochhausen's research focuses on the development and application of ontologies and semantic technologies within biomedical informatics. His work aims to create standardized vocabularies and data structures to facilitate the integration, analysis, and sharing of complex biological and clinical data. He has contributed to the development of ontologies for various biomedical domains, including cancer research, drug interactions, and biobanking.
Brochhausen has served as PI on federal grants, including a $454,259 award from the NIH/National Institute of General Medical Sciences for the Trauma Institutional Priorities and Teams for Outcome Efficacy (TIPTOE) project. His publications demonstrate a consistent engagement with semantic web technologies, database management, and the application of artificial intelligence principles to medical research. His work on ontologies, such as the Ontology for Biomedical Investigations and the ACGT Master Ontology, highlights his efforts to build a common language for biomedical research and clinical applications, particularly in areas like postgenomic clinical trials for cancer.
With a h-index of 21 and over 140 publications, Brochhausen has established himself as a highly cited researcher. He collaborates with colleagues at the University of Arkansas for Medical Sciences, including Justin M. Whorton, Jonathan P. Bona, Joseph Utecht, and Cilia E. Zayas, with whom he has co-authored multiple publications. His research activities are supported by an active lab website.
Metrics
- h-index: 21
- Publications: 136
- Citations: 1,664
Selected Publications
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mcwdsi/OMRSE: v2026-07-08 (2026)
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Ontology-Aligned Representation of Adverse Events in a Multiple Myeloma Clinical Trial (2026)
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mcwdsi/OMRSE: v2026-09-03 (2026)
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mcwdsi/OMRSE: v2026-04-07 (2026)
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Enhancing Clinical Note Generation with ICD-10, Clinical Ontology Knowledge Graphs, and Chain-of-Thought Prompting Using GPT-4 (2026)
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Generation of Interactive Knowledge Graphs to Enable Research of the Effects of Trauma Center Organization on Patient Outcomes (2025)
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Nextflow4MS-DIAL: A Reproducible Nextflow-Based Workflow for Liquid Chromatography–Mass Spectrometry Metabolomics Data Processing (2025)
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Expanding the Ontology of Organizational Structures of Trauma Centers and Trauma Systems. (2024)PubMed OpenAlex
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The Representational Challenge of Integration and Interoperability in Transformed Health Ecosystems (2024)
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The Representational Challenge for Designing and Managing 5P Medicine Ecosystems (2024)
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An Automated Workflow Composition System for Liquid Chromatography–Mass Spectrometry Metabolomics Data Processing (2023)
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Development and validation of the early warning system scores ontology (2023)
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Designing and Managing Advanced, Intelligent and Ethical Health and Social Care Ecosystems (2023)
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235 Use of Community Review Boards to Evaluate the Utility of the ICF Navigator - A Browser-based Tool to Create Plain-Language Informed Consent Forms (2023)
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Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems (2023)
Federal Grants 1 $454,259 total
Trauma Institutional Priorities and Teams for Outcome Efficacy (TIPTOE)
Collaboration Network
Top Collaborators
- Building a drug ontology based on RxNorm and other sources
- The ontology of medically related social entities: recent developments
- Developing a semantically rich ontology for the biobank-administration domain
- Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software
- Towards a foundational representation of potential drug-drug interaction knowledge.
Showing 5 of 17 shared publications
- Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective
- The Role of Axiomatically-Rich Ontologies in Transforming Medical Data to Knowledge
- Standardized representation of the LIDC annotations using DICOM
- Standardized representation of the LIDC annotations using DICOM
- The informed consent form navigator: a tool for producing readable and compliant consent documents
Showing 5 of 11 shared publications
- Toward a complete dataset of drug–drug interaction information from publicly available sources
- Towards a foundational representation of potential drug-drug interaction knowledge.
- Extending the DIDEO ontology to include entities from the natural product drug interaction domain of discourse
- Formalizing knowledge and evidence about potential drug-drug interactions
- Formalizing Evidence Type Definitions for Drug-Drug Interaction Studies to Improve Evidence Base Curation
Showing 5 of 10 shared publications
- Clinical modeling—A critical analysis
- Autonomous Systems and Artificial Intelligence – Hype or Prerequisite for P5 Medicine?
- Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems
- The Role of Axiomatically-Rich Ontologies in Transforming Medical Data to Knowledge
- Understanding the Gap Between Information Models and Realism-Based Ontologies Using the Generic Component Model
Showing 5 of 9 shared publications
- OOSTT: a Resource for Analyzing the Organizational Structures of Trauma Centers and Trauma Systems.
- Formalizing Evidence Type Definitions for Drug-Drug Interaction Studies to Improve Evidence Base Curation
- Development and Validation of a Controlled Vocabulary: An OWL Representation of Organizational Structures of Trauma Centers and Trauma Systems
- A proposal for determining the evidence types of biomedical documents using a drug-drug interaction ontology and machine learning
- The informed consent form navigator: a tool for producing readable and compliant consent documents
Showing 5 of 9 shared publications
- OOSTT: a Resource for Analyzing the Organizational Structures of Trauma Centers and Trauma Systems.
- Standardization of assay representation in the Ontology for Biomedical Investigations
- Extending the DIDEO ontology to include entities from the natural product drug interaction domain of discourse
- Formalizing Evidence Type Definitions for Drug-Drug Interaction Studies to Improve Evidence Base Curation
- Development and Validation of a Controlled Vocabulary: An OWL Representation of Organizational Structures of Trauma Centers and Trauma Systems
Showing 5 of 7 shared publications
- Building a drug ontology based on RxNorm and other sources
- The ontology of medically related social entities: recent developments
- Towards a Consistent and Scientifically Accurate Drug Ontology.
- The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation
- CollaborationViz: Interactive Visual Exploration of Biomedical Research Collaboration Networks
Showing 5 of 6 shared publications
- Towards a foundational representation of potential drug-drug interaction knowledge.
- Formalizing knowledge and evidence about potential drug-drug interactions
- Formalizing Evidence Type Definitions for Drug-Drug Interaction Studies to Improve Evidence Base Curation
- Adding evidence type representation to DIDEO.
- A proposal for determining the evidence types of biomedical documents using a drug-drug interaction ontology and machine learning
- Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective
- Development and validation of the early warning system scores ontology
- 235 Use of Community Review Boards to Evaluate the Utility of the ICF Navigator - A Browser-based Tool to Create Plain-Language Informed Consent Forms
- Expanding the Ontology of Organizational Structures of Trauma Centers and Trauma Systems.
- Generation of Interactive Knowledge Graphs to Enable Research of the Effects of Trauma Center Organization on Patient Outcomes
- Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective
- Development and validation of the early warning system scores ontology
- The Representational Challenge of Integration and Interoperability in Transformed Health Ecosystems
- Expanding the Ontology of Organizational Structures of Trauma Centers and Trauma Systems.
- Generation of Interactive Knowledge Graphs to Enable Research of the Effects of Trauma Center Organization on Patient Outcomes
- Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective
- Standardized representation of the LIDC annotations using DICOM
- Standardized representation of the LIDC annotations using DICOM
- The PRISM semantic cohort builder: a novel tool to search and access clinical data in TCIA imaging collections
- Autonomous Systems and Artificial Intelligence – Hype or Prerequisite for P5 Medicine?
- Designing and Managing Advanced, Intelligent and Ethical Health and Social Care Ecosystems
- The Representational Challenge for Designing and Managing 5P Medicine Ecosystems
- The Representational Challenge of Integration and Interoperability in Transformed Health Ecosystems
- Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software
- A Checklist for Reproducible Computational Analysis in Clinical Metabolomics Research
- Nextflow4MS-DIAL: A Reproducible Nextflow-Based Workflow for Liquid Chromatography–Mass Spectrometry Metabolomics Data Processing
- An Automated Workflow Composition System for Liquid Chromatography–Mass Spectrometry Metabolomics Data Processing
- Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software
- A Checklist for Reproducible Computational Analysis in Clinical Metabolomics Research
- Nextflow4MS-DIAL: A Reproducible Nextflow-Based Workflow for Liquid Chromatography–Mass Spectrometry Metabolomics Data Processing
- An Automated Workflow Composition System for Liquid Chromatography–Mass Spectrometry Metabolomics Data Processing
- Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software
- A Checklist for Reproducible Computational Analysis in Clinical Metabolomics Research
- Nextflow4MS-DIAL: A Reproducible Nextflow-Based Workflow for Liquid Chromatography–Mass Spectrometry Metabolomics Data Processing
- An Automated Workflow Composition System for Liquid Chromatography–Mass Spectrometry Metabolomics Data Processing
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