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FUTURE APPLICATIONS

Predictive Medicine holds potential for utilizing unexplored methods of detection. The following are the new approaches of Predictive Medicine that researchers are in the process of constructing.

PREDICTIVE PROTEINS

(5h)

Research shows the prognostic impact of "elevated expressions of individual and clustered GEFs on survival and the benefit of transcriptome analysis of G regulatory proteins in cancer biology". The next step will be to carry this technology into the clinic where it can be directly applied to deciphering a patient’s state of cancer and best treatments. (5.6)

GENOMIC BIOMARKERS

The development of biomarkers sufficiently sensitive and specific for early detection of diseases that will be life-threatening has been an issue for researchers. The validation of these biomarkers requires very large randomized screening trials. Despite this, the development of biomarkers for personalizing treatment selection, particularly in oncology, has seen greater progress. "Key bottlenecks that limit progress in the translation of discoveries in genomics to biomarkers and treatments that reduce mortality and morbidity from chronic diseases" are included. (5.7)

 

MICROBIAL COMMUNITIES

(5j)

Research displays phylogeny and function sufficiently linked that this 'predictive metagenomic' approach can provide "useful insights into the thousands of uncultivated microbial communities for which only marker gene surveys are currently available". High-throughput sequencing has improved our understanding of microbial ecology and is now spreading in biotechnological applications from personalized medicine to bioenergy. "Markers such as the 16S rRNA gene (16S) of bacteria and archaea are frequently used to characterize the taxonomic composition and phylogenetic diversity of environmental samples". (5.8)

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