Let's look at how to use Research & development in predictive analytics:
1) predictive modeling to lower attrition and produce a leaner, faster, more targeted R & D pipeline in drugs and devices;
2) statistical tools and algorithms to improve clinical trial design and patient recruitment to better match treatments to individual patients, thus reducing trial failures and speeding new treatments to market; and
3) analyzing clinical trials and patient records to identify follow-on indications and discover adverse effects before products reach the market.
How do you see this working in public health? Evidence based medicine?
Need 175 words at least.