Several nationwide initiatives for personalized medicine have already been announced.

Significant challenges stay, however, in the analysis and management of genetic information and their integration with patient data. The sheer level and complexity of this data, generated using cutting-edge technologies such as next era DNA sequencing, requires the development of new computer algorithms and systems that can mine this data to get actionable knowledge. Now, scientists at A*STAR's Genome Institute of Singapore have reported another breakthrough in the advancement of professional systems that can trawl large datasets, integrating complex disease information to steer doctors in the diagnosis and treatment of diseases.The researchers' findings suggest a range of opportunities, Wambach said. These include using the genetic understanding to program affected infants' births near hospitals with neonatal intensive-care units and developing medical therapies to target the abnormal protein caused by these mutations. Wambach said the researchers desire to identify extra genes that cause neonatal RDS and better determine babies at risk. But right now we're studying how these mutations function in the laboratory, Wambach said. Statistical associations help guideline us, but we have to understand the biology of the mutations also. Related StoriesArsenic publicity during pregnancy might boost risk of infections, respiratory symptoms in childrenNew vaccine applicant shows great guarantee at fighting respiratory syncytial virusImproved gene therapy treatment displays guarantee in mice with cystic fibrosis The research group – including Aaron Hamvas, MD, and F.