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A team of scientists from?EntityRisk?and Pfizer?were highlighted in ISPOR—The Professional Society for Health Economics and Outcomes Research’s Value and Outcomes Spotlight. ? “For new medicines, and even many established ones, evidence of effectiveness rests primarily on data from a pivotal clinical trial designed for regulatory approval. Yet, in nearly all cases, clinical trial participants differ significantly from real-world patients who use the drug,“ Devin Incerti, Andrew Morris, Joe Cappelleri, Valeria Merla, MPH, Nathaniel Posner, Dana P Goldman, and Darius Lakdawalla write. ? EntityRisk has produced software that implements cutting-edge machine-learning methods for predicting real-world benefits of pipeline medicines.?Instead of choosing between real-world estimates and randomized trial estimates, Bayesian machine-learning methods allow both to be inputs into a robust prediction algorithm that yields unbiased estimates and accurate measures of uncertainty. ? Read the full article here:?https://lnkd.in/gGXedpUg ? #RWE?#HEOR?#DrugPricing?#BioPharma?#HealthEconomics

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Impressive work by the team at EntityRisk and Pfizer! Combining real-world data with clinical trial results is a game-changer in drug development. EntityRisk

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