Video and Audio

Towards an automated rating of the MDS-UPDRS motor scores

Scientific poster presented on September 2021 at the International Parkinson and Movement Disorder Society Annual Conference.
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Modeling of the Placebo Response in Parkinson’s Disease

Scientific Poster presented on September 2021 at the International Parkinson and Movement Disorder Society Annuel Meeting.
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Predicting the placebo response in OA to improve the precision of the treatment effect estimation

The current abstract is the result of a collaboration between Unity biotechnology and Tools4 patient As you know, the placebo response is one of the major sources of variability in randomized clinical trials As a result, many trials fail due to a high placebo response. Unfortunately, this is also true in OA studies. However, within Tools4Patient, we have developed a Machine-Learning model named Placebell©™ that can overcome this placebo challenge. This machine -learning
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Can Daily Self-Assessment Induce a Learning Effect Mitigating Pain Evaluation Error in Randomized Clinical Trials?

LEARNING EFFECT & EVALUATION ERROR At Tools4Patient, we are working on the prediction of placebo response and especially the placebo response with endpoints assessing the patients’ pain. As you know, these endpoints represent most of the efficacy endpoints in Osteoarthritis Randomized Clinical Trials. Nevertheless, the assessment of pain is, by nature, subjective and the risk is high
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Interview on The Bio Report Podcast

Erica Smith, VP of Business Development, speaks with Daniel Levin of The Bio Report Podcast about the Placebell©™ method to reduce the impact of the placeb response in drug development”.
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Video Interview at Biotech Showcase 2019

Erica Smith, VP of Business Development, discusses the benefits of the Placebell©™ approach in video interview at Biotech Showcase in San Francisco, CA. Date: January, 2019
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Webinars

Predict placebo response using patient psychology to increase trial power

Advanced methods like AI and machine learning are uniquely poised to help scientists uncover the full spectrum of patient placebo responsiveness in a clinical trial. Learn more about this approach by attending our webinar, which explains how a solution like Placebell©™ leverages a time-tested predictive algorithm to improve clinical trial assay sensitivity and de-risk drug development.
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The Impact of COVID-19 on Clinical Trial Conduct: The Importance of Considering Patient Stress, Coping and Perceptions

Learn the importance of considering patient psychological traits, expectations, perception of patient relationship with the trial physician and staff, and social structure in efforts to understand the impact of the COVID-19 pandemic on clinical trials.
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Patient-Centric Approach To Characterizing Placebo response

Learn about how Tools4Patient considers the placebo response of each individual patient in clinical trials as a central part of the Placebell© methodology.
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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.
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