Associate Professor Bernard de Bono
Bernard de Bono, MD PhD, leads on the development of semantic interoperability infrastructure and standards for biomedical resources. In particular, he is developing the requisite computational infrastructure for the ontology-based annotation, sharing and inferencing of physiology-related semantic metadata to bridge resources generated by the Innovative Medicines Initiative and Virtual Physiological Human communities.
In addition, de Bono has developed the ApiNATOMY approach to ontology visualisation in support of more effective knowledge management by the physiology and pharmaceutical research communities. de Bono holds Principal Investigator positions at the Auckland Bioengineering Institute and University College London.
Areas of expertise
- Computational Biology×
Selected publications and creative works (Research Outputs)
- Wu, H., Oellrich, A., Girges, C., de Bono, B., Hubbard, T. J., & Dobson, R. J. (2017). Automated PDF highlighting to support faster curation of literature for Parkinson's and Alzheimer's disease. Database: The Journal of Biological Databases and Curation, 2017 (1), 1-14. 10.1093/database/bax027
- Safaei, S., Bradley, C. P., Suresh, V., Mithraratne, K., Muller, A., Ho, H., ... Chase, J. G. (2016). Roadmap for cardiovascular circulation model. Journal of Physiology, 594 (23), 6909-6928. 10.1113/jp272660
Other University of Auckland co-authors: Peter Hunter, Harvey Ho, Soroush Safaei, Christopher Bradley, Kumar Mithraratne, Vinod Suresh
- Graf, N., de Bono, B., Bucur, A., Buechler, P., Byrne, H., Dong, F., ... Kolokotroni, E. (2016). A Multiscale Hypermodel to Predict the Nephroblastoma Response to Preoperative Chemotherapy. PEDIATRIC BLOOD & CANCER. (pp. 1).
- Nickerson, D., Atalag, K., de Bono, B., Geiger, J., Goble, C., Hollmann, S., ... Stanford, N. J. (2016). The human physiome: How standards, software and innovative service infrastructures are providing the building blocks to make it achievable. Interface Focus, 6 (2)10.1098/rsfs.2015.0103
Other University of Auckland co-authors: David Nickerson, Peter Hunter, Koray Atalag
- Nickerson, D. P., Atalag, K., de Bono, B., & Hunter, P. (2016). The Physiome Project, openEHR Archetypes and the Digital Patient. In C. D. Combs, J. A. Sokolowski, C. M. Banks (Eds.) The Digital Patient Advancing Healthcare, Research, and Education (pp. 101-126). Hoboken, New Jersey, United States: John Wiley & Sons.
Other University of Auckland co-authors: Koray Atalag, David Nickerson, Peter Hunter
- Hofmann-Apitius, M., Ball, G., Gebel, S., Bagewadi, S., de Bono, B., Schneider, R., ... Ebeling, C. (2015). Bioinformatics mining and modeling methods for the identification of disease mechanisms in neurodegenerative disorders. International Journal of Molecular Sciences, 16 (12), 29179-29206. 10.3390/ijms161226148
- Zivaljevic, A., Atalag, K., de Bono, B., & Hunter, P. (19/2/2015). Annotation of Clinical Datasets Using openEHR Archetypes. Poster presented at Auckland Bioengineering Institute Research Forum 2015, Auckland. Related URL.
Other University of Auckland co-authors: Koray Atalag, Aleksandar Zivaljevic, Peter Hunter
- de Bono, B., Safaei, S., Grenon, P., Nickerson, D. P., Alexander, S., Helvensteijn, M., ... Yu, T. (2015). The Open Physiology workflow: modeling processes over physiology circuitboards of interoperable tissue units. Frontiers in Physiology, 6 (1)10.3389/fphys.2015.00024
Other University of Auckland co-authors: Tommy Yu, David Nickerson, Peter Hunter, Soroush Safaei