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;

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;

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.

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The post 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; appeared first on My Nursing Papers.

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