IBM, NYC hospital training Watson supercomputer in cancer

March 22, 2012 By JIM FITZGERALD , Associated Press
This Jan. 13, 2011 photo provided by IBM shows the computer system known as Watson at IBM's research center in Yorktown Heights, N.Y. The medical training of IBM's speedy Watson computer will continue with a residency at Memorial Sloan-Kettering to help doctors diagnose and treat cancer. (AP Photo/IBM, File)

The medical training of IBM's speedy Watson computer will continue with a residency at a renowned Manhattan cancer hospital.

IBM and Memorial Sloan-Kettering Cancer Center said Thursday that they will add the latest in oncology research - and the hospital's accumulated experience - to Watson's vast knowledge base, and keep updating it.

The result should help the diagnose and treat cancer more quickly, accurately and personally, they said.

"The capabilities are enormous," said Dr. Larry Norton, deputy chief for programs at Sloan-Kettering. "And unlike my medical students, Watson doesn't forget anything."

Watson won fame by beating the world's best "Jeopardy!" players. Applying its speed and language skills to medicine was a longtime goal at IBM, and Watson went to work last year for the Wellpoint Inc.

The training at Sloan-Kettering will take time, and it may be the end of next year before patients at the hospital are benefiting from Watson's speed and depth, said Dr. Martin Kohn, chief medical scientist at IBM. If successful, the finished product could be used anywhere in the world to aid .

Kohn said there's a rule of thumb that it takes 15 years for breakthroughs in medicine to be disseminated around the world.

"So any process that can help get valuable information about choices and treatment out into general use more rapidly obviously is an improvement," he said.

IBM said it was still focused on the project's development and was undecided about how to market it. It said both IBM and the hospital had invested in the plan but would not disclose specifics.

Watson will be fed textbooks, and - with permission - individual medical records. Then it will be tested with more and more complicated cancer scenarios and assessed with the help of an advisory panel, Kohn said. It's expected to speedily suggest diagnoses and recommend treatments, ranking several alternatives.

The computer's grasp of the scientific literature - and its ability to find the right passage in seconds - will help doctors keep up with the ever-expanding amount of available information, the doctors said.

But Norton said it's the patient records at Sloan-Kettering - with plain-language notations that Watson can understand - that will add "wisdom" to what the computer learns.

The hospital, founded in 1884, says it's the world's oldest and largest private cancer center.

"Because of our size and experience, we have super-specialized physicians in every field of ," Norton said. "And all of what they actually do is capturable in the language of our electronic medical records.

"You boil together knowledge and sophistication and experience and what you have is wisdom," Norton said. "No one's ever captured wisdom before in a way that can facilitate medical decision making."

Watson can even be instructed about individual patient preferences, Kohn said. When evaluating treatments, for example, it could take into account that a patient feels strongly about not losing her hair.

"Or a patient says, `My daughter is getting married in six months. No matter what, I have to live that long,'" Kohn said. "Then that influences the treatment."

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5 / 5 (2) Mar 22, 2012
Based on what I've read recently concerning the performance of this machine, I think it's very possible that Watson will contribute greatly to the field of cancer research.
With that said, the only potential problem is that it always provides its responses in the form of a question, which frustrates the professors no end.

"What is 'Interleukin 2 for augmentation of specific T cell mediated anti-tumor immunity and the activation of non-specific cytolytic effector cells'?"
5 / 5 (1) Mar 23, 2012
I remember when 'expert systems' were touted to revolutionize so many industries, including medicine, some 30 years ago. It never happened of course due to the limitations at the time of both computer tech and the software itself.

But today, I think the chances are much better especially in fields where vast amounts of information can be sifted trough quickly, making new associations and checking against historical outcomes.

Even if the system doesn't guess right, it can still provide the top five say, best diagnoses and the reasons behind them which can be very helpful to the human diagnostician. Good project.
5 / 5 (1) Mar 23, 2012
Neurons, I could hear the piano play you off the stage...

This seems like one more step towards a Star Trek world. A simple program could create a basic 2-D version of Voyager's "The Doctor". If it can be trained over time to better diagnose medical conditions then it isn't a leap to assume it can be trained over time to socially interact with humans

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