Seems to me that this is more a case of computing power getting the job done (that would otherwise take much longer) than analytics innovation. A more apt title would have been "IBM's cluster computing power solving cancer!" The predictive algorithms that the article mentions were sure screaming for more computing power in years past.
Power 730 Cluster is impressive.
With academic research I'm sure other, more efficient, computational platforms could be envisioned that could do the this task in the same amount of time but at a fraction of the cost.
From what I can see the majority of the costs are in the accelerators themselves. That being the case, it seems like a pipelined architecture would be very useful. Patients could be fed into the MRI or CT on one end, and while transiting to the accelerator, the computations would follow.
One article on cost in the WSJ commented the accelerators were about the size of a football field.
"Last year there were over 12 million cancer patients worldwide receiving various therapies, and that number is predicted to increase to 21 million by 2030"
Can someone shed some light on why is this so? Is world wide population growing? Or something else is happening.
As more and more developing countries choose to use 'manufactured' foods while abandoning traditional 'healthier' options, this is to be expected.
As regards to increase in cancer patients in step with population increases, I am not sure whether the percentages have remained the same. If anything, I would expect that to have increased if my surmising above holds true!
Blog That A-Ha Moment Larry Desjardin 12 comments Have you ever had an a-ha moment? Sure, you have. The Merriam-Webster dictionary defines it as "a moment of sudden realization, inspiration, insight, recognition, or ...