[HTML][HTML] Using artificial intelligence-based methods to address the placebo response in clinical trials

EA Smith, WP Horan, D Demolle… - Innovations in Clinical …, 2022 - ncbi.nlm.nih.gov
The placebo response is a highly complex psychosocial-biological phenomenon that has
challenged drug development for decades, particularly in neurological and psychiatric …

Leveraging historical data to optimize the number of covariates and their explained variance in the analysis of randomized clinical trials.

S Branders, A Pereira, G Bernard… - … Methods in Medical …, 2022 - journals.sagepub.com
The amount of data collected from patients involved in clinical trials is continuously growing.
All baseline patient characteristics are potential covariates that could be used to improve …

[HTML][HTML] Report of similar placebo response in one internet versus onsite randomised controlled trials from the literature

A Ooghe, X Liu, S Robbins, JP Eyles, LA Deveza… - … and Cartilage Open, 2024 - Elsevier
Objective The aim of this study was to compare the magnitude and the predictors of the
placebo response in an internet versus onsite randomised controlled trials (RCTs) in people …

[PDF][PDF] Predicting the Placebo Response

E Smith, A Pereira, S Branders, D Demolle - 2021 - cognivia.com
The influence of patient psychology on response to treatment and placebo can no longer be
ignored. Tools4Patient (T4P) provides proven solutions that use insights from clinical trial …

[HTML][HTML] Using Machine Learning to Predict Placebo Response and Increase Clinical Trial Success

E Smith - appliedclinicaltrialsonline.com
Every year, the pharmaceutical industry spends millions in an effort to improve the
evaluation of efficacy in clinical trials–including strategies to reduce risk relating to the …