Publications

Using aggregated site features computed with the MPsQ to allow a better monitoring of sites in clinical trials Objective:   The MPsQ is an assessment characterizing the profile of the subjects participating to a Randomized Controlled Trial (RCT) to predict their behaviors in the study (placebo response, adherence, …). This analysis aimed to determine whether individual responses collected through the MPsQ could

Cognivia team members contribute critical elements to a recent paper published in Innovations in Clinical Neuroscience. Cognivia co-authored a recent paper published in Innovations in Clinical Neuroscience. The paper, “Using Artificial Intelligence-based Methods to Address the Placebo Response in Clinical Trials,” was a collaborative effort by leaders in artificial intelligence and machine learning, as well as their applications within

Purpose  Outcomes in Randomized Controlled Trials (RCT) are often computed as changes from baseline of finite scales (e.g., pain assessments going from 0 to 10). When subjects receive effective treatment over time they may reach the limit of a finite scale. In that case, the score limitation at the bottom of the finite scale, called

Scientific Poster presented on October 2021 at the Annual Meeting of the Royal Statistical Society of Belgium. The amount of data collected from patients involved in clinical trials is continuouslygrowing. All baseline patient characteristics are potential covariates that could be used to improve clinical trial analysis and power. However, the limited number of patients in phases