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New Skin Cancer Checking Software Set to Benefit Survivors

New Skin Cancer Checking Software Set to Benefit Survivors | Melanoma Dispatch | Scoop.it

"Skin cancer survivors are to be aided in checking for signs of the condition returning by new technology developed by experts at the University of Aberdeen.


"Initially targeted at those living in remote and rural areas, the software will educate out-patients in how to carry out self-examinations and enable them to send images of skin abnormalities directly to specialists."

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Medical Xpress  |  May 26, 2014

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GeneGame: An App That Lets You Be the Scientist

GeneGame: An App That Lets You Be the Scientist | Melanoma Dispatch | Scoop.it

Researchers all over the world have collected vast amounts of data on cancer patients, from genetic information to drug treatment records to cell biopsies, and this information can be very valuable when working to develop new treatments. But the data pool is so vast that finding useful information can take an incredibly long time. Cancer Research UK has now developed a website, called CellSlider, to let the public click through actual microscope slides to identify cancerous cells; it took the public 3 months to analyze as much material as the organization's scientists can cover in 18 months. Building on that success, Cancer Research UK is preparing to launch an app, GeneGame, which will enable patients to analyze data on their smartphones in a fun, interactive setting. The data will then be sent back to scientists to use in their research at a much faster rate, perhaps hastening the development of a cure.

Cancer Commons's insight:

BBC | Jul 18, 2013

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Cancer Commons's curator insight, July 19, 2013 9:05 PM

BBC | Jul 18, 2013

Cancer Commons's curator insight, July 19, 2013 11:07 PM

BBC | Jul 18, 2013

Cancer Commons's curator insight, July 19, 2013 11:07 PM

BBC | Jul 18, 2013

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Crowdsourcing Melanoma Identification

Crowdsourcing Melanoma Identification | Melanoma Dispatch | Scoop.it

People aren't very good at catching melanomas on their own, but a new study suggests that many heads are better than one when it comes to spotting these skin cancers. The researchers taught 500 people how to identify melanomas, then tested their accuracy on 40 images of moles, 9 of which were melanomas. As expected, each person was right only 58% of the time—but collectively, the group was right 90% of the time. Next, the team is developing a cell phone app to let people upload photos of worrisome moles for evaluation by others. The researchers caution, however, that such mole crowdsourcing would not replace clinical diagnosis. Rather, the app would steer high-risk people to get clinical skin examinations.

Cancer Commons's insight:

Cancer Epidemiology │Dec 2013

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