Personalized medicine is often associated and discussed in the context of advances from the human genome project. It is true that significant breakthroughs and advancement of deep sequencing and other analytical technologies have greatly expanded the pool of available biological data, but integrating this data into medically meaningful knowledge via translational informatics remains an area of opportunity that is far from being fully realized. Significant opportunities remain for informatics to drive progress towards wide use and utility of personalized medicine by focusing and exploitation of multimodal biomarkers, precompetitive data sharing and a balance between high-content data and rich phenotypic data, such as real observational medical outcomes.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.2217/pme.11.88 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!