Jonathan P. Bona
Assistant Professor
Also affiliated: University of Arkansas Medical Center (2022–2023); University at Buffalo, State University of New York (2009–2016)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Jonathan P. Bona's research centers on the application of ontologies and artificial intelligence to enhance biomedical data integration and analysis, with a particular focus on precision medicine and health imaging. He has investigated methods for improving the representation of protein entities using ontologies, as demonstrated in his work on the Protein Ontology (PRO). His research also addresses the practical challenges of preparing clinical and imaging data for AI-driven health imaging projects, including the de-identification process and DICOM re-encoding.
Bona's work on the Platform for Imaging in Precision Medicine (PRISM) highlights his efforts in semantically integrating multi-modal data, including neuroimaging results, within systems like the Arkansas Imaging Enterprise System (ARIES). He has also explored the documentation of data de-identification processes for AI in health imaging and the analysis of caregiver burden expressed in social media. His research extends to understanding socioeconomic determinants of remote patient monitoring implementation in both rural and urban hospital settings.
He has published 68 papers with an h-index of 11 and has received funding for his work, including a $212,716 award from the NIH/National Institute on Minority Health and Health Disparities for the Arkansas Center for Health Disparities T32 Pre-doctoral Research Training Program, where he serves as Co-PI. Bona collaborates with researchers at the University of Arkansas for Medical Sciences, including Joseph Utecht, Fred Prior, Aaron S. Kemp, and Mathias Brochhausen.
Metrics
- h-index: 11
- Publications: 67
- Citations: 420
Positions
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Associate Professor 2026–presentUniversity of Arkansas for Medical Sciences Biomedical Informatics ORCID
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Assistant Professor 2018–presentUniversity of Arkansas for Medical Sciences Biomedical Informatics Institutional directory
Selected Publications
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From Gestational Age–Specific Serum Creatinine Trajectories to an Interactive Clinical Interpretation Tool in Level IV NICU Infants (2026)
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When is 3D Worth It? A Resource-Performance Frontier for CNNs and Transformers in Lung CT (2026)arXiv (Cornell University) OpenAlex
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Ontology-Aligned Representation of Adverse Events in a Multiple Myeloma Clinical Trial (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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An Activation Likelihood Estimation Meta-Analysis of Voxel-Based Morphometry Studies of Chemotherapy-Related Brain Volume Changes in Breast Cancer (2025)
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New implementation of data standards for AI in oncology: Experience from the EuCanImage project (2024)
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Expanding the Ontology of Organizational Structures of Trauma Centers and Trauma Systems. (2024)PubMed OpenAlex
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Knowledge Representation and Management in the Age of Long Covid and Large Language Models: a 2022-2023 Survey (2024)
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Comparative Analysis of Adverse Event Reporting on Reddit and the FDA Adverse Event Reporting System (FAERS) (2024)
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ADVANCE: a biomedical informatics approach to investigate acute kidney injury in infants (2024)
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EPH169 Integrating Structured and Unstructured Data in Total Hip Arthroplasty Evaluation: A Comprehensive Analysis for Enhanced Device Safety (2024)
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Documenting the de-identification process of clinical and imaging data for AI for health imaging projects (2024)
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New implementation of data standards for AI in oncology. Experience from the EuCanImage project (2024)
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HCV Medication Receipt Among Individuals With Methamphetamine, Opioid, and Alcohol Use Disorders in Arkansas, 2018–2022: A Long Road Ahead for HCV Elimination in the US South (2024)
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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)
Federal Grants 1 $212,716 total
Arkansas Center for Health Disparities T32 Pre-doctoral Research Training Program
Grants & Funding
As listed on this researcher's institutional profile. Federal awards with verified records are shown above.
- Tools for data curation, quality control and data interoperability European Commission via Universitat de Barcelona
- TCIA Sustainment and Scalability - Platforms for Quantitative Imaging Informatics in Precision Medicine - Year 4 - Continuation NIH/Nat. Cancer Institute
- TCIA Sustainment and Scalability - Platforms for Quantitative Imaging Informatics in Precision Medicine NIH
- Trauma Institutional Priorities and Teams for Outcome Efficacy (TIPTOE) NIH
Collaboration Network
Top Collaborators
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- 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
- Enhancing the drug ontology with semantically-rich representations of National Drug Codes and RxNorm unique concept identifiers
- Standardized representation of the LIDC annotations using DICOM
Showing 5 of 15 shared publications
- PRISM: A Platform for Imaging in Precision Medicine
- Documenting the de-identification process of clinical and imaging data for AI for health imaging projects
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
Showing 5 of 13 shared publications
- Analysis of Caregiver Burden Expressed in Social Media Discussions
- Socioeconomic Determinants of Remote Patient Monitoring Implementation Among Rural and Urban Hospitals
- PDG39 Evaluating the Temporal Association between the Recency of Prescribed Controlled Substance Acquisition and Fatal and Non-Fatal Opioid Overdose
- HCV Medication Receipt Among Individuals With Methamphetamine, Opioid, and Alcohol Use Disorders in Arkansas, 2018–2022: A Long Road Ahead for HCV Elimination in the US South
- Comparative Analysis of Adverse Event Reporting on Reddit and the FDA Adverse Event Reporting System (FAERS)
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- Standardized representation of the LIDC annotations using DICOM
- Standardized representation of the LIDC annotations using DICOM
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- Standardized representation of the LIDC annotations using DICOM
- Standardized representation of the LIDC annotations using DICOM
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- Standardized representation of the LIDC annotations using DICOM
- Standardized representation of the LIDC annotations using DICOM
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- Standardized representation of the LIDC annotations using DICOM
- Standardized representation of the LIDC annotations using DICOM
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- Standardized representation of the LIDC annotations using DICOM
- Standardized representation of the LIDC annotations using DICOM
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- Standardized representation of the LIDC annotations using DICOM
- Standardized representation of the LIDC annotations using DICOM
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- Standardized representation of the LIDC annotations using DICOM
- Standardized representation of the LIDC annotations using DICOM
- DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
- The informed consent form navigator: a tool for producing readable and compliant consent documents
- The PRISM semantic cohort builder: a novel tool to search and access clinical data in TCIA imaging collections
- 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
- PDG39 Evaluating the Temporal Association between the Recency of Prescribed Controlled Substance Acquisition and Fatal and Non-Fatal Opioid Overdose
- Analysis of Caregiver Burden Expressed in Social Media Discussions
- Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES)
- The informed consent form navigator: a tool for producing readable and compliant consent documents
- 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
- Documenting the de-identification process of clinical and imaging data for AI for health imaging projects
- Analysis of Caregiver Burden Expressed in Social Media Discussions
- New implementation of data standards for AI in oncology: Experience from the EuCanImage project
- New implementation of data standards for AI in oncology. Experience from the EuCanImage project
- Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective
- API Driven On-Demand Participant ID Pseudonymization in Heterogeneous Multi-Study Research
- Toward using ontologies to improve results in searches for mental health information
- Enhancing the drug ontology with semantically-rich representations of National Drug Codes and RxNorm unique concept identifiers
- 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
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