Translational Research
The drive to understand the mechanisms of disease is central to biomedical science, medical practice and the pharmaceutical industry. Not only does such understanding hold promise for the discovery of better drugs but also the potential for more personalised medicine. Moving research from the laboratory to the clinic is typically known as translational research. This approach aims to rapidly advance treatment options for patients by linking together experimental approaches such as gene expression profiling, genome wide association studies and proteomics, with data from clinical trials and general patient information.
Translational research faces two primary areas of challenge: at the technical level, linking and visualising disparate data which may use different or no ontologies and, at the social and regulatory levels, with the need to maintain patient confidentiality through compliance with clinical records privacy laws.
QFAB can help scientists with access to the bioinformatics tools and computational capability needed to meet these challenges. Building on our strengths in understanding and translating the needs of the researcher into the language of the bioinformatician and IT professional, QFAB can work closely with your research team to address both the data management and bioinformatic aspects of your translational research project.
