Translational Bioinformatics (TBI):
The science of leveraging biomolecular data into clinical medicine.
Here is a much longer definition from the American Medical Informatics Association site.
Translational Bioinformatics is the development of storage, analytic, and interpretive methods to optimize the transformation of increasingly voluminous biomedical data, and genomic data, into proactive, predictive, preventive, and participatory health. Translational bioinformatics includes research on the development of novel techniques for the integration of biological and clinical data and the evolution of clinical informatics methodology to encompass biological observations. The end product of translational bioinformatics is newly found knowledge from these integrative efforts that can be disseminated to a variety of stakeholders, including biomedical scientists, clinicians, and patients.
Recurring Working Groups:
Here is a sampling of TBI activities in the Translational informatics division:
- Protein biomarker discovery for neonatal sepsis (collaboration with Dr. Robin Ohls MD and the Division of Neonatology)
- Protein biomarker discovery for severe malarial anemia and malaria co-infections in children (collaboration with Dr. D.J. Perkins PhD and the Center for Global health)
- Druggability profiling of proteomic biomarkers
- Development of machine learning and computational causal discovery methods for advancing TBI
Recent conference presentations:
- Invited Talk: Subramani Mani. “Druggability Profiling of Protein Biomarkers.” Summit on Translational Bioinformatics, San Francisco, 2015.
- Invited Talk: Subramani Mani. “Focused Proteomic Profiling for Late Onset Neonatal Sepsis.” Summit on Translational Bioinformatics, San Francisco, 2014.
- Invited Talk: Subramani Mani. “Predictive Modeling for Biomarker Discovery.” Department of Pathology Grand Rounds, UNM School of Medicine, 2014.