Traditional treatment studies take a large population of patients and compare the success of a new treatment against a placebo (or the previous treatment). This makes perfect sense if everyone were identical. However, cancer research is showing that individual differences may be very meaningful.
If "ONLY" 5% of the subjects respond to a particular treatment, it might be that the treatment is not very effective. However, it might also mean that a particular genotype of the population (5% of the group) is completely cured by the treatment and other genotypes are not.
Big data and genetic analysis provide a unique opportunity to conduct studies to identify if there are subsets of the population that do respond well to a particular treatment. The day is coming when treatments will be customized to our genotype. It is already happening for some cancers.
>> Andy Grove, who has Parkinson's, has been driving treatment for Parkinson's around the industry
That is news to me that Andy Grove has Parkinson. This may be a better Moore's Law to crack. Intel should spare nothing to get this issue solved. Getting big data into the domain of chip design sounds interesting. Intel has an opportunity here to reshape this industry that has been software driven.
Although Intel said the smartwatch was not its recently acquired Basis sleep/motion tracker, the company said it's looking on ways to integrate Basis into future programs. I'm surprised they didn't conduct this study with Basis in the first place.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.