6 Ways Big Data Is Driving Personalized Medicine Revolution - InformationWeek

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11/12/2015
11:06 AM
David Wagner
David Wagner
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6 Ways Big Data Is Driving Personalized Medicine Revolution

Researchers are poised to make huge advances in medicine, particularly in how we treat cancer and arthritis. See how big data and IT are contributing.
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(Image: ymgerman/iStock)

(Image: ymgerman/iStock)

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pfretty494
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pfretty494,
User Rank: Moderator
11/23/2015 | 12:54:00 PM
Opportunity doesn't just apply to medicine
This is a great example that any type of business can use to empower better customer engagement. The data is there, organizations just need to understand how to ask the right questions to learn more about their customers and identify opportunities to personalize when appropriate. Peter Fretty, Idg blogger for SAS
jrkreed
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jrkreed,
User Rank: Apprentice
11/16/2015 | 11:18:21 AM
Anonymity
How do you identify 100 candidates with specific characteristics for a trial if the data is anonymous?
Broadway0474
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Broadway0474,
User Rank: Ninja
11/13/2015 | 11:38:17 PM
Re: Personalised drug dosages too
David, that's an issue that got a lot of play a few years back. But you don't hear too much about it anymore. It's pretty darn nasty the level of chemical pollution in our water --- hormones, antiobiotics, painkillers, anti-depressants. You name it. What's worse, the pharma waste or the plastic waste? We're all being experimented on on a regular basis.
David Wagner
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David Wagner,
User Rank: Strategist
11/13/2015 | 11:50:02 AM
Re: Personalised drug dosages too
@whoopty- you are right about the dosage. Doage should also help with antibiotic resistance and with drugs polluting our water supply. There are an amazing number of drugs in our water supply. 
David Wagner
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David Wagner,
User Rank: Strategist
11/13/2015 | 11:47:48 AM
Re: A database as big as a planet
@gary_el- It should be a lot cheaper and easier at least for a while. The first thing I think will happen is that pharmaceuticals will probably go back to a lot of dead end drugs that seemed to work on one set of patients and not another to see why that was so. Could recoup a lot of money and save a lot of lives. In the end, though, once we grab a lot of the low hanging fruit, I think we'll be back to the usual brilliant science as the starting point.
Whoopty
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Whoopty,
User Rank: Ninja
11/13/2015 | 7:29:04 AM
Personalised drug dosages too
It's really good to see personalised medication becoming the big advancement in 21st century medicine, as it makes a lot of sense. We all have vastly different bodies, so of course treatment won't work for everyone. However I'm also interested to see improvements in dosage with this sort of data tracking.

When I had my eyes lasered to improve my vision, they took a map of my eye and tailored the treatment to me, but when I get a prescription for some medication, it's the same that I'd get if I was a woman, or twice the size. Tailoring dosages could also help reduce side effects and improve effectiveness of medication I feel and I'd like to see more of it in the future.
Gary_EL
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Gary_EL,
User Rank: Ninja
11/13/2015 | 4:05:17 AM
A database as big as a planet
Well, maybe not quite that big, but with Big Data sweeping up results, statistics, genomes and everything else, it's a whole new chapter in the story of statistics. Data and biological scientists can look for inferences and correlations over a vast universe of situations. The data they may look at need not even have been gathered for the purpose at hand. But it's there anyway, and it may be useful now.

This is akin to what's starting to happen in the Industrial Internet, where what might seem intractable in one jet engine might show a pattern if it happens to six out of one-hundred. Let's look and see what's different in those six, and then it'll be so much easier to find out why.

What's so striking here is you rather than starting out trying to solve a problem with pure, brilliant science, now you can start just looking over happenstance harvested by Big Data and crunched in supercomputers. Science's job will then be a lot simpler, faster and cheaper.
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