Mathias Brochhausen, PhD, MA

Research Program: Cancer Biology Faculty Rank: Professor and Vice-Chair Campus: University of Arkansas for Medical Sciences College: College of Medicine Department: Biomedical Informatics

Cancer Research Interest

• Disease Site Focus: No Specific Disease Site
• Research Focus Area: Informatics, Health Disparities, Treatment, Diagnosis/ Prognosis
• Type of Research: Population Sciences, Translational
• Research Keywords: Clinical Cancer Data Management, Cancer Data Integration, Artificial Intelligence for Cancer Research
• Research Interest Statement: My current cancer-related research focusses on semantic data integration for cancer clinical data in The Cancer Imaging Archive (TCIA). I have multiple years of experience using Artificial Intelligence methods to harmonize and integrated biomedical data, including cancer research data and drug administration data. I want to support the Cancer Center's mission harnessing innovative data management and data mining methodologies.

Contact Information

• Email Address: MBROCHHAUSEN@UAMS.EDU
• Profiles Research Networking Software: View Profile

Recent Publications

• Blobel B, Oemig F, Ruotsalainen P, [et al., including Brochhausen M]. The Representational Challenge for Designing and Managing 5P Medicine Ecosystems. Studies in health technology and informatics. 2024 314:3-13. PMID: 38784996.
• Du X, Dastmalchi F, Diller MA, [et al., including Brochhausen M]. An Automated Workflow Composition System for Liquid Chromatography-Mass Spectrometry Metabolomics Data Processing. Journal of the American Society for Mass Spectrometry. 2023. PMID: 37874901.
• Zayas CE, Whorton JM, Sexton KW, [et al., including Brochhausen M]. Development and validation of the early warning system scores ontology. Journal of biomedical semantics. 2023 14(1):14. PMID: 37730667. PMCID: PMC10510162.
• Blobel B, Ruotsalainen P, Brochhausen M, [et al.]. Designing and Managing Advanced, Intelligent and Ethical Health and Social Care Ecosystems. Journal of personalized medicine. 2023 13(8). PMID: 37623460. PMCID: PMC10455576.
• Du X, Dastmalchi F, Ye H, [et al., including Brochhausen M]. Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software. Metabolomics : Official journal of the Metabolomic Society. 2023 19(2):11. PMID: 36745241.
• Bona JP, Utecht J, Kemp AS, [et al., including Brochhausen M]. The informed consent form navigator: a tool for producing readable and compliant consent documents. Journal of clinical and translational science. 2023 7(1):e3. PMID: 36755541. PMCID: PMC9879912.
• Zayas CE, Williams TB, Brochhausen M. Experiences with developing and implementing a courageous conversations pilot classroom through synchronous meetings via zoom. Journal of clinical and translational science. 2023 7(1):e32. PMID: 36845317. PMCID: PMC9947604.
• Kreuzthaler M, Brochhausen M, Zayas C, [et al.]. Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems. Frontiers in medicine. 2023 10:1073313. PMID: 37007792. PMCID: PMC10050682.
• Bona JP, Utecht J, Bost S, [et al., including Brochhausen M]. The PRISM semantic cohort builder: a novel tool to search and access clinical data in TCIA imaging collections. Physics in medicine and biology. 2022 68(1). PMID: 36279873. PMCID: PMC9855624.
• Singh N, Braun N, Hogan W, Brochhausen M. Integration of Biobanking Architecture with Genomics Data: Genomics Integrated Biobanking Ontology (GIBO). Studies in health technology and informatics. 2022 295:302-303. PMID: 35773868.
• Brochhausen M, Whorton JM, Zayas CE, [et al.]. Assessing the Need for Semantic Data Integration for Surgical Biobanks-A Knowledge Representation Perspective. Journal of personalized medicine. 2022 12(5). PMID: 35629179. PMCID: PMC9147545.
• Du X, Aristizabal-Henao JJ, Garrett TJ, [et al., including Brochhausen M]. A Checklist for Reproducible Computational Analysis in Clinical Metabolomics Research. Metabolites. 2022 12(1). PMID: 35050209. PMCID: PMC8779534.
• Brochhausen M, Hester DM. Data Properties or Analytical Methodologies: Too Much Attention to the Former Ignores Concerns About the Latter. The American journal of bioethics : AJOB. 2021 21(12):70-72. PMID: 34806969.
• Brochhausen M, Bost SJ, Singh N, [et al.]. Understanding the Gap Between Information Models and Realism-Based Ontologies Using the Generic Component Model. Studies in health technology and informatics. 2021 285:159-164. PMID: 34734868.
• Blobel B, Ruotsalainen P, Brochhausen M. Autonomous Systems and Artificial Intelligence - Hype or Prerequisite for P5 Medicine?. Studies in health technology and informatics. 2021 285:3-14. PMID: 34734847.
• Vita R, Zheng J, Jackson R, [et al., including Brochhausen M]. Standardization of assay representation in the Ontology for Biomedical Investigations. Database : the journal of biological databases and curation. 2021 2021. PMID: 34244718. PMCID: PMC8271124.
• Fedorov A, Hancock M, Clunie D, [et al., including Brochhausen M]. DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules. Medical physics. 2020. PMID: 32772385. PMCID: PMC7721965.
• Blobel B, Ruotsalainen P, Brochhausen M, [et al.]. Autonomous Systems and Artificial Intelligence in Healthcare Transformation to 5P Medicine - Ethical Challenges. Studies in health technology and informatics. 2020 270:1089-1093. PMID: 32570549.
• Bost S, Ball JN, Sanddal ND, [et al., including Brochhausen M]. ACS COT participates in study to develop comparative data on trauma care organization. Bulletin of the American College of Surgeons. 2020 105(4):43-48. PMID: 34531607. PMCID: PMC8442950.
• Brochhausen M, Ball JW, Sanddal ND, [et al.]. Collecting data on organizational structures of trauma centers: the CAFE web service. Trauma surgery & acute care open. 2020 5(1):e000473. PMID: 32789188. PMCID: PMC7394144.
• Hochheiser H, Jing X, Garcia EA, [et al., including Brochhausen M]. A Minimal Information Model for Potential Drug-Drug Interactions. Frontiers in pharmacology. 2020 11:608068. PMID: 33762928. PMCID: PMC7982727.
• Hoang L, Boyce RD, Bosch N, [et al., including Brochhausen M]. Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation. AMIA ... Annual Symposium proceedings. AMIA Symposium. 2020 2020:554-563. PMID: 33936429. PMCID: PMC8075461.
• Bona JP, Brochhausen M, Hogan WR. Enhancing the drug ontology with semantically-rich representations of National Drug Codes and RxNorm unique concept identifiers. BMC bioinformatics. 2019 20(Suppl 21):708. PMID: 31865907. PMCID: PMC6927112.