Healthcare // Analytics

IBM's Watson Takes Aim At Cancer

Collaboration between IBM and the New York Genome Center will use Watson to match cancer mutations to potential treatments, compressing process from months to minutes.

Target: glioblastoma(Source: Wikimedia Commons)
Target: glioblastoma
(Source: Wikimedia Commons)

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Kristin Burnham
Kristin Burnham,
User Rank: Author
3/26/2014 | 9:04:22 PM
Re: Just call him Dr. Watson
Couldn't agree more. These types of advancements in technology -- for the greater good -- make me excited to see what may come next.
IW Pick
User Rank: Ninja
3/22/2014 | 11:32:37 AM
Just call him Dr. Watson
I had the chance to speak with one of hte folks behind Watson about this project the other day at an IBM event, and it's really quite fascinating.  If we can figure out how DNA in cancer tumors can be attributed to the host DNA, this will not only lead to new, faster and more efficient treatments, but it can also help create much earlier screening tools to reduce the overall affliction rate of cancer.  It's so exciting to see real applications for this type of technology that will make significant differences, especially in remote or underdeveloped areas where we simply cannot service the population to the same level as we do in larger cities.
User Rank: Author
3/20/2014 | 3:52:11 PM
Looking Ahead
I can't wait until, five or 10 years from now, we see some big results from these big Watson projects. 
David F. Carr
David F. Carr,
User Rank: Author
3/19/2014 | 7:10:07 PM
Re: A new day in cancer treatment coming
I was tempted to write this off as just another big claim for Watson, in a repetitive pattern of Watson applied to this, that, and the other thing. The thing that caught my imagination, though, was the idea that the software was being trained to understand genomic information and match it against scientific citations on the efficacy of specific drugs.
Charlie Babcock
Charlie Babcock,
User Rank: Author
3/19/2014 | 6:58:37 PM
A new day in cancer treatment coming
Watson is actually going to be quite helpful with this task. We can group patients by response to druges and we can group patients by known mutations in their genome, but it's very hard to correlate the two groups. Not enough people have had their genome deciphered to make the latter groups large enough for scientific analysis. For a doctor to someday say, "Patients with your genome type have responded well with this type of drug," will be a new day in medicine. It isn't far off.
User Rank: Author
3/19/2014 | 5:46:36 PM
Watson at work
Given the variables at work in relating treatments to highly individualized cases, this looks like a great use for Watson and a great partnership for the cancer community.
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