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Leveraging Predictive Dosing to Reduce Clinical Trial Risk, Upcoming…

Apart from concerns about the underestimation of the true dose response, toxicity and the overestimation of the optimal dose level required, new questions arise around the ability of trial investigators to predict patient behavior and factor it into analysis.

Medication non-adherence in clinical trials can lower the statistical power of the study, leading to incorrect conclusions about the safety and efficacy of novel treatments. A recent study by the Tufts Center for the Study of Drug Development reviewed over 250,000 dosing videos captured by the AiCure platform, showing approximately half (48%) of all study volunteers had at least one intentionally non-adherent dose. Apart from concerns about the underestimation of the true dose response, toxicity and the overestimation of the optimal dose level required, new questions arise around the ability of trial investigators to predict patient behavior and factor it into analysis.

Join expert speakers from AiCure, Rich Christie, MD, PhD, Chief Development Officer and Marlen Rattiner, VP, Product Management; as well as Dooti Roy, PhD, Principal Methodology Statistician, Boehringer Ingelheim and Ken Getz MBA, Director & Professor at Tufts Center for the Study of Drug Development, Tufts University School of Medicine, in a live webinar on Wednesday, February 10, 2021 at 1pm EST.

For more information, or to register for this event, visit Leveraging Predictive Dosing to Reduce Clinical Trial Risk.

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