As big data increases its importance, the companies have
started to explore the new ways to use it.
Smart
companies are gathering massive amounts of data and correlating it with other
sources to produce new insights. This is where big data and big data
analytics come in. Big data is growing into a catalyst for change on a global
scale with, seemingly, limitless possibilities.
The convergence
of biotechnology and bioinformatics is providing a great advantage to the companies
to gather and analyze data as well as what they can learn from that data.
MC10 and
Proteus are the companies which use both “wearable” technologies and digestible
microchips to gather and analyze information about processes like brain
activity and hydration levels that they intend to use for noble causes like
lowering costs and increasing levels of care.
Sano Intelligence also plans to use these wearable devices to “capture and transmit” blood chemistry
information continuously to an analysis platform to capture the information from the the human body.
Although the
debate continues on how individual physiological data can be legally and
ethically used, smart brains are applying new technology to reveal the
information underlying the massive amount of data.
http://bits.blogs.nytimes.com/2012/09/07/big-data-in-your-blood/
I feel like big data is gonna do big things in the area of biology. I was interested in a far fetched idea of big data analytics in stem cell research. The application of big data analytics could be the niche they need to make a giant break through. It is hard to comprehend the amount of data that can be mined in this field. However, the complication is mining this data. https://www.youtube.com/watch?v=thg7civlfUI: this video is the best I could find in ways that researchers are mining data related to human biology (in this case genetics). I think that more clever avenues will have to be explored in order to mine quality data with respect to stem cells. But, I think that we are not that far off in making this break through.
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