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Biomedical Ontology
  1. Ontology (Science).Barry Smith - 2008 - In Carola Eschenbach & Mike Grüninger (eds.), Formal Ontology in Information Systems. Proceedings of the Fifth International Conference (FOIS 2008). Amsterdam: IOS Press. pp. 21-35.
    Increasingly, in data-intensive areas of the life sciences, experimental results are being described in algorithmically useful ways with the help of ontologies. Such ontologies are authored and maintained by scientists to support the retrieval, integration and analysis of their data. The proposition to be defended here is that ontologies of this type – the Gene Ontology (GO) being the most conspicuous example – are a part of science. Initial evidence for the truth of this proposition (which some will find self-evident) (...)
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  2. CIDO: The Community-Based Coronavirus Infectious Disease Ontology.Yongqun He, Hong Yu, Edison Ong, Yang Wang, Yingtong Liu, Anthony Huffman, Hsin-hui Huang, Beverley John, Asiyah Yu Lin, Duncan William D., Sivaram Arabandi, Jiangan Xie, Junguk Hur, Xiaolin Yang, Luonan Chen, Gilbert S. Omenn, Brian Athey & Barry Smith - 2021 - Proceedings of the 11th International Conference on Biomedical Ontologies (ICBO) and 10th Workshop on Ontologies and Data in Life Sciences (ODLS).
    Current COVID-19 pandemic and previous SARS/MERS outbreaks have caused a series of major crises to global public health. We must integrate the large and exponentially growing amount of heterogeneous coronavirus data to better understand coronaviruses and associated disease mechanisms, in the interest of developing effective and safe vaccines and drugs. Ontologies have emerged to play an important role in standard knowledge and data representation, integration, sharing, and analysis. We have initiated the development of the community-based Coronavirus Infectious Disease Ontology (CIDO). (...)
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  3. CTO: A Community-Based Clinical Trial Ontology and Its Applications in PubChemRDF and SCAIViewH.Asiyah Yu Lin, Stephan Gebel, Qingliang Leon Li, Sumit Madan, Johannes Darms, Evan Bolton, Barry Smith, Martin Hofmann-Apitius, Yongqun Oliver He & Alpha Tom Kodamullil - 2021 - Proceedings of the 11th International Conference on Biomedical Ontologies (ICBO) and 10th Workshop on Ontologies and Data in Life Sciences (ODLS).
    Driven by the use cases of PubChemRDF and SCAIView, we have developed a first community-based clinical trial ontology (CTO) by following the OBO Foundry principles. CTO uses the Basic Formal Ontology (BFO) as the top level ontology and reuses many terms from existing ontologies. CTO has also defined many clinical trial-specific terms. The general CTO design pattern is based on the PICO framework together with two applications. First, the PubChemRDF use case demonstrates how a drug Gleevec is linked to multiple (...)
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  4. Peer Review Report: Ontologies Relevant to Behaviour Change Interventions, Version 3.Robert M. Kelly, David Limbaugh & Barry Smith - 2021 - Human Behaviour Change Project.
    In the present review we focus on what we take to be some remaining issues with the Behaviour Change Intervention Ontology (BCIO). We are in full agreement with the authors’ endorsement of the principles of best practice for ontology development In particular, we agree that an ontology should be “logically consistent and having a clear structures [sic], preferably a well-organised hierarchical structure,” and that “Maximising the new ontology’s interoperability with existing ontologies by reusing entities from existing ontologies where appropriate” is (...)
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  5. 本体:广谱的知识集成工具.Barry Smith - 2020 - In 基于基本形式化本体的本体构建. Beijing: pp. 4-8.
    Ontology: Tool for Broad Spectrum Knowledge Integration (Foreword to Chinese translation of Building Ontologies with Basic Formal Ontology).
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  6. 基于基本形式化本体的本体构建.Robert Arp, Barry Smith & Andrew D. Spear - 2020 - Beijing: People's Medical Publishing House.
    In the era of “big data,” science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that is of (...)
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  7. Coordinating Coronavirus Research: The COVID-19 Infectious Disease Ontology.John Beverley, Shane Babcock, Gustavo Carvalho, Lindsay Cowell, Sebastian Duesing, Regina Hurley & Barry Smith - 2020 - Open Science Foundation Preprints.
    Rapidly, accurately and easily interpreting generated data is of fundamental concern. Ontologies – structured controlled vocabularies – support interoperability and prevent the development of data silos which undermine interoperability. The Open Biological and Biomedical Ontologies (OBO) Foundry serves to ensure ontologies remain interoperable through adherence by its members to core ontology design principles. For example, the Infectious Disease Ontology (IDO) Core includes terminological content common to investigations of all infectious diseases. Ontologies covering more specific infectious diseases in turn extend from (...)
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  8. Peer Review Report: Ontologies Relevant to Behaviour Change Interventions, Version 1.Robert M. Kelly, David Limbaugh & Barry Smith - 2020 - Human Behaviour Change Project.
    In “Ontologies Relevant to behaviour change interventions: A Method for their Development” Wright, et al. outline a step by step process for building ontologies of behaviour modification – what the authors call the Refined Ontology Developmental Method (RODM) – and demonstrate its use in the development of the Behaviour Change Intervention Ontology (BCIO). RODM is based on the principles of good ontology building used by the Open Biomedical Ontology (OBO) Foundry in addition to those outlined in (Arp, Smith, and Spear (...)
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  9. CIDO, a Community-Based Ontology for Coronavirus Disease Knowledge and Data Integration, Sharing, and Analysis.Oliver He, John Beverley, Gilbert S. Omenn, Barry Smith, Brian Athey, Luonan Chen, Xiaolin Yang, Junguk Hur, Hsin-hui Huang, Anthony Huffman, Yingtong Liu, Yang Wang, Edison Ong & Hong Yu - 2020 - Scientific Data 181 (7):5.
    Ontologies, as the term is used in informatics, are structured vocabularies comprised of human- and computer-interpretable terms and relations that represent entities and relationships. Within informatics fields, ontologies play an important role in knowledge and data standardization, representation, integra- tion, sharing and analysis. They have also become a foundation of artificial intelligence (AI) research. In what follows, we outline the Coronavirus Infectious Disease Ontology (CIDO), which covers multiple areas in the domain of coronavirus diseases, including etiology, transmission, epidemiology, pathogenesis, diagnosis, (...)
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  10. The Infectious Disease Ontology in the Age of COVID-19.Shane Babcock, Lindsay G. Cowell, John Beverley & Barry Smith - 2020 - OSF Preprints.
    The Infectious Disease Ontology (IDO) is a suite of interoperable ontology modules that aims to provide coverage of all aspects of the infectious disease domain, including biomedical research, clinical care, and public health. IDO Core is designed to be a disease and pathogen neutral ontology, covering just those types of entities and relations that are relevant to infectious diseases generally. IDO Core is then extended by a collection of ontology modules focusing on specific diseases and pathogens. In this paper we (...)
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  11. OHMI: The Ontology of Host-Microbiome Interactions.Yongqun He, Haihe Wang, Jie Zheng, Daniel P. Beiting, Anna Maria Masci, Hong Yu, Kaiyong Liu, Jianmin Wu, Jeffrey L. Curtis, Barry Smith, Alexander V. Alekseyenko & Jihad S. Obeid - 2019 - Journal of Biomedical Semantics 10 (1):1-14.
    Host-microbiome interactions (HMIs) are critical for the modulation of biological processes and are associated with several diseases, and extensive HMI studies have generated large amounts of data. We propose that the logical representation of the knowledge derived from these data and the standardized representation of experimental variables and processes can foster integration of data and reproducibility of experiments and thereby further HMI knowledge discovery. A community-based Ontology of Host-Microbiome Interactions (OHMI) was developed following the OBO Foundry principles. OHMI leverages established (...)
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  12. Interdyscyplinarne perspektywy rozwoju, integracji i zastosowań ontologii poznawczych.Janna Hastings, Gwen Frishkoff, Barry Smith, Mark Jensen, Russell Poldrack, Jane Lomax, Anita Bandrowski, Fahim Imam, Jessica Turner, Maryann Martone & Przemysław Nowakowski - 2016 - Avant: Trends in Interdisciplinary Studies 7 (3):101-117.
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  13. Ontology as Product-Service System: Lessons Learned From GO, BFO and DOLCE.Barry Smith - 2019 - In Proceedings of the 10th International Conference on Biomedical Ontology (ICBO), Buffalo, NY.
    This paper defends a view of the Gene Ontology (GO) and of Basic Formal Ontology (BFO) as examples of what the manufacturing industry calls product-service systems. This means that they are products (the ontologies) bundled with a range of ontology services such as updates, training, help desk, and permanent identifiers. The paper argues that GO and BFO are contrasted in this respect with DOLCE, which approximates more closely to a scientific theory or a scientific publication. The paper provides a detailed (...)
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  14. Warranted Diagnosis.David Limbaugh, David Kasmier, Werner Ceusters & Barry Smith - 2019 - In Proceedings of the International Conference on Biomedical Ontology (ICBO), Buffalo, NY. Buffalo: pp. 1-10.
    A diagnostic process is an investigative process that takes a clinical picture as input and outputs a diagnosis. We propose a method for distinguishing diagnoses that are warranted from those that are not, based on the cognitive processes of which they are the outputs. Processes designed and vetted to reliably produce correct diagnoses will output what we shall call ‘warranted diagnoses’. The latter are diagnoses that should be trusted even if they later turn out to have been wrong. Our work (...)
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  15. Biomedical Ontology Alignment: An Approach Based on Representation Learning.Prodromos Kolyvakis, Alexandros Kalousis, Barry Smith & Dimitris Kiritsis - 2018 - Journal of Biomedical Semantics 9 (21).
    While representation learning techniques have shown great promise in application to a number of different NLP tasks, they have had little impact on the problem of ontology matching. Unlike past work that has focused on feature engineering, we present a novel representation learning approach that is tailored to the ontology matching task. Our approach is based on embedding ontological terms in a high-dimensional Euclidean space. This embedding is derived on the basis of a novel phrase retrofitting strategy through which semantic (...)
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  16. On Defining Bruxism.W. Ceusters & B. Smith - 2018 - Studies in Health Technology and Informatics 247:551-555.
    In a series of recent publications, orofacial researchers have debated the question of how ‘bruxism’ should be defined for the purposes of accurate diagnosis and reliable clinical research. Following the principles of realism-based ontology, we performed an analysis of the arguments involved. This revealed that the disagreements rested primarily on inconsistent use of terms, so that issues of ontology were thus obfuscated by shortfalls in terminology. In this paper, we demonstrate how bruxism terminology can be improved by paying attention to (...)
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  17. The Planteome Database: An Integrated Resource for Reference Ontologies, Plant Genomics and Phenomics.Laurel Cooper, Austin Meier, Marie-Angélique Laporte, Justin L. Elser, Chris Mungall, Brandon T. Sinn, Dario Cavaliere, Seth Carbon, Nathan A. Dunn, Barry Smith, Botong Qu, Justin Preece, Eugene Zhang, Sinisa Todorovic, Georgios Gkoutos, John H. Doonan, Dennis W. Stevenson, Elizabeth Arnaud & Pankaj Jaiswal - 2018 - Nucleic Acids Research 46 (D1):D1168–D1180.
    The Planteome project provides a suite of reference and species-specific ontologies for plants and annotations to genes and phenotypes. Ontologies serve as common standards for semantic integration of a large and growing corpus of plant genomics, phenomics and genetics data. The reference ontologies include the Plant Ontology, Plant Trait Ontology, and the Plant Experimental Conditions Ontology developed by the Planteome project, along with the Gene Ontology, Chemical Entities of Biological Interest, Phenotype and Attribute Ontology, and others. The project also provides (...)
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  18. ImmPort, Toward Repurposing of Open Access Immunological Assay Data for Translational and Clinical Research.Sanchita Bhattacharya, Patrick Dunn, Cristel Thomas, Barry Smith, Henry Schaefer, Jieming Chen, Zicheng Hu, Kelly Zalocusky, Ravi Shankar & Shai Shen-Orr - 2018 - Scientific Data 5:180015.
    Immunology researchers are beginning to explore the possibilities of reproducibility, reuse and secondary analyses of immunology data. Open-access datasets are being applied in the validation of the methods used in the original studies, leveraging studies for meta-analysis, or generating new hypotheses. To promote these goals, the ImmPort data repository was created for the broader research community to explore the wide spectrum of clinical and basic research data and associated findings. The ImmPort ecosystem consists of four components–Private Data, Shared Data, Data (...)
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  19. The Non-Coding RNA Ontology : A Comprehensive Resource for the Unification of Non-Coding RNA Biology.Huang Jingshan, Eilbeck Karen, Barry Smith, A. Blake Judith, Dou Dejing, Huang Weili, A. Natale Darren, Ruttenberg Alan, Huan Jun & T. Zimmermann Michael - 2016 - Journal of Biomedical Semantics 7 (1).
    In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given the large quantity of information being obtained in this area, there emerges an urgent need to integrate what is being discovered by a broad range of relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a systematically structured and precisely defined controlled vocabulary for the (...)
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  20. OmniSearch: A Semantic Search System Based on the Ontology for MIcroRNA Target Gene Interaction Data.Huang Jingshan, Gutierrez Fernando, J. Strachan Harrison, Dou Dejing, Huang Weili, A. Blake Judith, Barry Smith, Eilbeck Karen, A. Natale Darren & Lin Yu - 2016 - Journal of Biomedical Semantics 7 (1):1.
    In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given the large quantity of information being obtained in this area, there emerges an urgent need to integrate what is being discovered by a broad range of relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a systematically structured and precisely defined controlled vocabulary for the (...)
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  21. Dealing with Elements of Medical Encounters: An Approach Based on Ontological Realism.Farinelli Fernanda, Almeida Mauricio, Elkin Peter & Barry Smith - 2016 - Proceedings of the Joint International Conference on Biological Ontology and Biocreative 1747.
    Electronic health records (EHRs) serve as repositories of documented data collected in a health care encounter. An EHR records information about who receives, who provides the health care and about the place where the encounter happens. We also observe additional elements relating to social relations in which the healthcare consumer is involved. To provide a consensus representation of common data and to enhance interoperability between different EHR repositories we have created a solution grounded in formal ontology. Here, we present how (...)
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  22. A Domain Ontology for the Non-Coding RNA Field.Jingshan Huang, Karen Eilbeck, Judith A. Blake, Dejing Dou, Darren A. Natale, Alan Ruttenberg, Barry Smith, Michael T. Zimmermann, Guoqian Jiang & Yu Lin - 2015 - In IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015). pp. 621-624.
    Identification of non-coding RNAs (ncRNAs) has been significantly enhanced due to the rapid advancement in sequencing technologies. On the other hand, semantic annotation of ncRNA data lag behind their identification, and there is a great need to effectively integrate discovery from relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a precisely defined ncRNA controlled vocabulary, which can fill a specific and highly needed niche in unification of ncRNA biology.
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  23. OntONeo: The Obstetric and Neonatal Ontology.Fernanda Farinelli, Mauricio Almeida, Peter Elkin & Barry Smith - 2016 - In Dealing with elements of medical encounters: An approach based on ontological realism. Aachen: CEUR, vol. 1747.
    This paper presents the Obstetric and Neonatal Ontology (OntONeo). This ontology has been created to provide a consensus representation of salient electronic health record (EHR) data and to serve interoperability of the associated data and information systems. More generally, it will serve interoperability of clinical and translational data, for example deriving from genomics disciplines and from clinical trials. Interoperability of EHR data is important to ensuring continuity of care during the prenatal and postnatal periods for both mother and child. As (...)
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  24. The ImmPort Antibody Ontology.William Duncan, Travis Allen, Jonathan Bona, Olivia Helfer, Barry Smith, Alan Ruttenberg & Alexander D. Diehl - 2016 - Proceedings of the International Conference on Biological Ontology 1747.
    Monoclonal antibodies are essential biomedical research and clinical reagents that are produced by companies and research laboratories. The NIAID ImmPort (Immunology Database and Analysis Portal) resource provides a long-term, sustainable data warehouse for immunological data generated by NIAID, DAIT and DMID funded investigators for data archiving and re-use. A variety of immunological data is generated using techniques that rely upon monoclonal antibody reagents, including flow cytometry, immunofluorescence, and ELISA. In order to facilitate querying, integration, and reuse of data, standardized terminology (...)
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  25. Developing the Quantitative Histopathology Image Ontology : A Case Study Using the Hot Spot Detection Problem.Metin Gurcan, Tomaszewski N., Overton John, A. James, Scott Doyle, Alan Ruttenberg & Barry Smith - 2017 - Journal of Biomedical Informatics 66:129-135.
    Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster organized, cross-disciplinary, information-driven collaborations in the pathological imaging field, we propose to develop an ontology to represent imaging data and methods used in pathological imaging and analysis, and call it Quantitative Histopathological Imaging Ontology – QHIO. We apply QHIO to breast cancer hot-spot detection with (...)
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  26. Toll-Like Receptor Signaling in Vertebrates: Testing the Integration of Protein, Complex, and Pathway Data in the Protein Ontology Framework.Cecilia Arighi, Veronica Shamovsky, Anna Maria Masci, Alan Ruttenberg, Barry Smith, Darren Natale, Cathy Wu & Peter D’Eustachio - 2015 - PLoS ONE 10 (4):e0122978.
    The Protein Ontology (PRO) provides terms for and supports annotation of species-specific protein complexes in an ontology framework that relates them both to their components and to species-independent families of complexes. Comprehensive curation of experimentally known forms and annotations thereof is expected to expose discrepancies, differences, and gaps in our knowledge. We have annotated the early events of innate immune signaling mediated by Toll-Like Receptor 3 and 4 complexes in human, mouse, and chicken. The resulting ontology and annotation data set (...)
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  27. The Development of Non-Coding RNA Ontology.Jingshan Huang, Karen Eilbeck, Barry Smith, Judith Blake, Deijing Dou, Weili Huang, Darren Natale, Alan Ruttenberg, Jun Huan, Michael Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison Strachan, Nisansa de Silva & Mohan Vamsi Kasukurthi - 2016 - International Journal of Data Mining and Bioinformatics 15 (3):214--232.
    Identification of non-coding RNAs (ncRNAs) has been significantly improved over the past decade. On the other hand, semantic annotation of ncRNA data is facing critical challenges due to the lack of a comprehensive ontology to serve as common data elements and data exchange standards in the field. We developed the Non-Coding RNA Ontology (NCRO) to handle this situation. By providing a formally defined ncRNA controlled vocabulary, the NCRO aims to fill a specific and highly needed niche in semantic annotation of (...)
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  28. The Ontology of Biological and Clinical Statistics (OBCS) for Standardized and Reproducible Statistical Analysis.Jie Zheng, Marcelline R. Harris, Anna Maria Masci, Lin Yu, Alfred Hero, Barry Smith & Yongqun He - 2016 - Journal of Biomedical Semantics 7 (53).
    Statistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analyses performed in achieving those results because they provide inadequate documentation of the statistical tests and algorithms applied. The Ontology of Biological and Clinical Statistics (OBCS) is put forward here as a step towards solving this problem. Terms in OBCS, including ‘data collection’, ‘data transformation in statistics’, ‘data visualization’, ‘statistical data (...)
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  29. Finding Our Way Through Phenotypes.Andrew R. Deans, Suzanna E. Lewis, Eva Huala, Salvatore S. Anzaldo, Michael Ashburner, James P. Balhoff, David C. Blackburn, Judith A. Blake, J. Gordon Burleigh, Bruno Chanet, Laurel D. Cooper, Mélanie Courtot, Sándor Csösz, Hong Cui, Barry Smith & Others - 2015 - PLoS Biol 13 (1):e1002033.
    Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across many key fields in biology, including genomics, systems biology, development, medicine, evolution, ecology, and systematics. Here we survey the current phenomics landscape, including data resources and handling, and the progress that (...)
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  30. The Ontology for Biomedical Investigations.Anita Bandrowski, Ryan Brinkman, Mathias Brochhausen, Matthew H. Brush, Bill Bug, Marcus C. Chibucos, Kevin Clancy, Mélanie Courtot, Dirk Derom, Michel Dumontier, Liju Fan, Jennifer Fostel, Gilberto Fragoso, Frank Gibson, Alejandra Gonzalez-Beltran, Melissa A. Haendel, Yongqun He, Mervi Heiskanen, Tina Hernandez-Boussard, Mark Jensen, Yu Lin, Allyson L. Lister, Phillip Lord, James Malone, Elisabetta Manduchi, Monnie McGee, Norman Morrison, James A. Overton, Helen Parkinson, Bjoern Peters, Philippe Rocca-Serra, Alan Ruttenberg, Susanna-Assunta Sansone, Richard H. Scheuermann, Daniel Schober, Barry Smith, Larisa N. Soldatova, Christian J. Stoeckert, Chris F. Taylor, Carlo Torniai, Jessica A. Turner, Randi Vita, Patricia L. Whetzel & Jie Zheng - 2016 - PLoS ONE 11 (4):e0154556.
    The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to (...)
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  31. Building Ontologies with Basic Formal Ontology.Robert Arp, Barry Smith & Andrew D. Spear - 2015 - Cambridge, MA: MIT Press.
    In the era of “big data,” science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that is of (...)
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  32. Biomarkers in the Ontology for General Medical Science.Werner Ceusters & Barry Smith - 2015 - In Ronald Cornet (ed.), Digital Healthcare Empowering Europeans. IOS Press. pp. 155-159.
    Based on the Ontology for General Medical Science, we propose definitions for biomarkers of various types of. These definitions provide not only a complete formal representation of what biomarkers are according to the Institute of Medicine (IOM), but also remove the ambiguities and inconsistencies encountered in the documentation provided by the IOM.
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  33. The Emotion Ontology: Enabling Interdisciplinary Research in the Affective Sciences.Janna Hastings, Werner Ceusters, Barry Smith & Kevin Mulligan - 2011 - In M. Beigl, H. Christiansen, T. Roth-Berghofer, A. Kofod-Petersen, K. R. Coventry & H. R. Schmidtke (eds.), CONTEXT, The Seventh International and Interdisciplinary Conference on Modeling and Using Context. Springer. pp. 119--123.
    Affective science conducts interdisciplinary research into the emotions and other affective phenomena. Currently, such research is hampered by the lack of common definitions of terms used to describe, categorise and report both individual emotional experiences and the results of scientific investigations of such experiences. High quality ontologies provide formal definitions for types of entities in reality and for the relationships between such entities, definitions which can be used to disambiguate and unify data across different disciplines. Heretofore, there has been little (...)
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  34. Towards an Ontology of Pain.Barry Smith, Werner Ceusters, Louis J. Goldberg & Richard Ohrbach - 2011 - In Proceedings of the Conference on Ontology and Analytical Metaphysics. Keio University Press.
    We present an ontology of pain and of other pain-related phenomena, building on the definition of pain provided by the International Association for the Study of Pain (IASP). Our strategy is to identify an evolutionarily basic canonical pain phenomenon, involving unpleasant sensory and emotional experience based causally in localized tissue damage that is concordant with that experience. We then show how different variant cases of this canonical pain phenomenon can be distinguished, including pain that is elevated relative to peripheral trauma, (...)
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Biomedical Information, Misc
  1. Normative Framework of Informed Consent in Clinical Research in Germany, Poland, and Russia.Marcin Orzechowski, Katarzyna Woniak, Cristian Timmermann & Florian Steger - 2021 - BMC Medical Ethics 22 (1):1-10.
    Background: Biomedical research nowadays is increasingly carried out in multinational and multicenter settings. Due to disparate national regulations on various ethical aspects, such as informed consent, there is the risk of ethical compromises when involving human subjects in research. Although the Declaration of Helsinki is the point of reference for ethical conduct of research on humans, national normative requirements may diverge from its provisions. The aim of this research is to examine requirements on informed consent in biomedical research in Germany, (...)
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  2. Stigmatization in the Wake of COVID-19: Considering a Movement From 'I' to 'We'.Piyali Mitra - 2020 - Eubios Journal of Asian and International Bioethics 30 (8):472-475.
    Epidemiological crisis during recrudescence of pandemic like COVID-19 may stir fear and anxiety leading to prejudices against people and communities, social isolation and stigma. Such behavioral change may wind up into increased hostility, chaos and unnecessary social disruptions. A qualitative exploratory approach was utilized to conduct an extensive review of secondary literature. The case-studies were gathered from academic literature like articles, opinions and perspective pieces published in journals and in grey literature like publications in humanitarian agencies and media reports. Grey (...)
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  3. The Info-Computational Turn in Bioethics.Constantin Vică - 2019 - In Emilian Mihailov, Tenzin Wangmo, Victoria Federiuc & Bernice Elger (eds.), Contemporary Debates in Bioethics: European Perspectives. De Gruyter Open. pp. 108-120.
    Our technological lifeworld has become an info-computational media populated by data and algorithms, an artificial environment for life and shared experiences. In this chapter, I tried to sketch three new assumptions for bioethics – it is hardly possible to substantiate ethical guidelines or an idea of normativity in an aprioristic manner; moral status is a function of data entities, not something solely human; agency is plural and thus is shared or sometimes delegated – in order to chart a proposal for (...)
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