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Developing predictive mortality models using wearable device data and genomic risk factors. Implements dynamic pricing algorithms that adjust premiums based on real-time health behaviors. Achieves 20-30% improvement in risk assessment accuracy through machine learning analysis of EHR data and lifestyle patterns. Reduces claims costs by 15-25% through preventive care nudges and early intervention targeting.
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