Saturday 12 December 2015

Why big data means big changes for personalized healthcare

In 1986, a person with lung cancer would be linked to approximately two types of disease. After the genome sequencing was completed in 2003, the medical community was able to find seven other molecular diseases associated to lung cancer and there are more to be discovered.

The access to new molecular data meant people had an increased chance of surviving lung cancer, whereas before the disease was considered a death sentence.

The original human genome project took 13 years to complete the sequence of chemical base pairs which make up human DNA at a cost of $3 billion. Today, this same process takes two days at cost roughly $15.

At the SAP Spotlight Tour earlier this week, healthcare professionals from CancerLinq, the Stanford University department of medicine and SAP’s own chief medical officer made a plea for more patient data to be made available in an effort to gain new insights for healthcare. The ultimate goal of this effort is to provide personalized medicine and treatment. For the full article click here 



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