Combining medical informatics and bioinformatics toward tools for personalized medicine.
OBJECTIVE
Key bioinformatics and medical informatics research areas need to be identified to advance knowledge and understanding of disease risk factors and molecular disease pathology in the 21 st century toward new diagnoses, prognoses, and treatments.


METHODS
Three high-impact informatics areas are identified: predictive medicine (to identify significant correlations within clinical data using statistical and artificial intelligence methods), along with pathway informatics and cellular simulations (that combine biological knowledge with advanced informatics to elucidate molecular disease pathology).


RESULTS
Initial predictive models have been developed for a pilot study in Huntington's disease. An initial bioinformatics platform has been developed for the reconstruction and analysis of pathways, and work has begun on pathway simulation.


CONCLUSIONS
A bioinformatics research program has been established at GE Global Research Center as an important technology toward next generation medical diagnostics. We anticipate that 21 st century medical research will be a combination of informatics tools with traditional biology wet lab research, and that this will translate to increased use of informatics techniques in the clinic.
GE Global Research Center, Niskayuna, NY, USA.
B D
BD
Sarachan
M K
MK
Simmons
P
P
Subramanian
J M
JM
Temkin
D035843:Biomedical Research; D015510:Clinical Medicine; D019295:Computational Biology; D006801:Humans; D006816:Huntington Disease / Q000235:genetics; D008490:Medical Informatics; D008959:Models, Neurological; D009488:Neurosciences; D025941:Protein Interaction Mapping; D014481:United States