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Embracing Human Complexity in Clinical Research
As clinical trials become more diverse, patient heterogeneity, placebo responses, and inter-site variability become more pronounced, contributing to high rates of failed trials and extended development timelines…
Predicting The Placebo Response In Chronic Pain Patients
There is substantial scientific literature describing the placebo response in pain, including characterizing the magnitude and duration of placebo response in randomized clinical trials.
Compilation Of Frequently Asked Questions About Placebell©™
In May 2018, Tools4Patient (T4P) presented a webinar entitled “Characterization of Individual Patient Placebo Response: Impact on the Clinical Study Power”.
Leveraging Historical Data For High-dimensional Regression Adjustment, A Machine Learning Approach
Samuel Branders, Ph.D., Data Mining and Statistical Research Scientist of Tools4Patient (T4P) recently presented cutting-edge research at the 2018 Promoting Statistical Insight conference in Amsterdam.
Leveraging historical data for high-dimensional regression adjustment, a machine learning approach.
The amount of data collected from patients involved in clinical trials is continuously growing. All those patient’s characteristics…
The Characterization of Individual Patient Placebo Response: Impact on the Clinical Study Power
Learn about the Placebell©™ method, its development in chronic pain., and how it can be easily implemented to increase study power and de-risk clinical trials.
Video Interview at Partnerships in Clinical Trials, Europe 2017
Dominique Demolle, CEO speaks with Andy Burrows of PCT TV about the early vision and development of Placebell©™ at Partnerships in Clinical Trials, Europe
Understand patient differences in your next clinical trial
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