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In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach

Likewise, researchers, innovators, policy officials, employers, and others MRF users will be able to use the information to improve data analysis and more precisely model healthcare costs and cost estimation algorithms, provide insights into healthcare pricing dynamics, and gain a deeper understanding of price dispersion across contracts that might provide a basis for negotiation and advocacy to more effectively bargain with healthcare providers and payers to yield more competitive pricing

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Bookmarking relevant calculators streamlines ongoing protocol management