Predictive analytics and technology have dramatically enhanced insurers’ ability to write Life Insurance policies without the need for medical exams in the past 10 years. Rapid, remote access to richer, digital health data has helped better identify higher risk individuals and capture anti-selective behavior, allowing policies to be issued at rates more competitive than traditional guaranteed issue products. Yet this underwriting technology is still new and rapidly evolving, challenging insurers to develop appropriate assumptions for new issues as well as the valuation of in-force blocks.In this session, we will look back at mortality and persistency experience data gathered in Oliver Wyman’s industry-wide VM-51 experience study, one of the most comprehensive data sets to include limited underwriting business in recent years. We will see how experience held up against expectations, and what possible trends we see across various policyholder characteristics. We will then zoom in on the impact of risks that would be considered uninsurable from a full underwriting perspective, and the impact that these lives are having on in-force blocks from a valuation perspective. Finally, we will look forward, examining some of the newest innovation in the limited underwriting space, as presenters discuss methods and considerations for the validation, assessment and implementation of new underwriting offerings, such as Milliman Risk Score and LabPiQture™.Attendees will enhance their understanding of the impact of underwriting changes over the past decade, as well as have a view of how things may change in future years as the industry becomes progressively more capable of assessing risk without the need for medical exams.