News | Events | Publications

Tools4Patient Selected as Finalist in 2019 Clinical Trials Innovations Challenge

September 16, 2019

Tools4Patient’s Placebell©™ technology has been selected as a finalist in the 2019 Clinical Trials Innovation Challenge sponsored by IQVIA, Lundbeck, and LEO Innovation Lab.


“Sensory Profiles and stratification of neuropathic pain patients based on the neuropathic pain symptom inventory (NPSI)” presented at the 2019 European Pain Federation EFIC Conference.

September 9, 2019

This study aimed to identify specific sensory phenotypes of peripheral neuropathic pain patients that could predict treatment response based on pain symptoms assessed by the Neuropathic Pain Symptom Inventory (NPSI).


Biotech Showcase

The investor conference that drives the future of drug development. Event Date: January 13 – January 15, 2020Event Location: San Francisco, CA, USAEvent Link:


ISCTM 16th Annual Scientific Meeting

The International Society for CNS Clinical Trials and Methodology (ISCTM) is a multi-disciplinary independent organization, devoted to promoting advances that address strategic clinical, regulatory, methodological and policy challenges that arise


Characterizing Personality Traits Related to the Placebo Response Using the MPsQ Questionnaire

November 19, 2019

Learn more about the development of the MPsQ and the its use as part of the Placebell©™ technology.

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Is the placebo effect contagious between investigators and patients?

November 12, 2019

A recent study published in Nature Human Behavior developed a methodology to understand and assess the role of physician expectation on the placebo response. Read more about this study here.

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Tools4Patient Introduces New Brand and Website

September 3, 2019

Tools4Patient is committed to our mission of developing predictive tools to optimize the evaluation of clinical-stage drugs. Along with our recent launch of Placebell©™ – a predictive algorithm focused on the placebo response – and our recent fundraising to support commercialization of Placebell©™ and further R&D, T4P is entering a new phase as a company.

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The Case Against Excluding High Placebo Responders from Clinical Trials

March 10, 2019

Drug developers have been struggling with the placebo response for decades, as a strong placebo effect diminishes the ability to distinguish pharmacologic treatment efficacy of an experimental drug.

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Identification Of Peripheral Neuropathic Pain Sensory Phenotypes Based On Specific Combinations Of Symptoms Identified With The NPSI (Neuropathic Pain Symptom Inventory)

Scientific Presentation made on September 2019 at the European Pain Federation (EFIC), Valencia, Spain. One way to better personalized the treatment of peripheral neuropathic pain (PNP) would be to identify specific sensory phenotypes of patients responding to different classes of drugs. Recent results have suggested that quantitative sensory testing (QST) could be useful, but these

Leveraging Historical Data For High-dimensional Covariate-adaptive Randomization, A Machine Learning Approach.

here is a continuous growth in data collected in clinical trials. Many of those patient’s characteristics are potential confounding factors. Ideally, these factors should be accounted for in the randomization process to balance study arms and reduce the variability of the estimated treatment effect.

Correcting For The Individual Patient Regression To The Mean Effect

Often, the primary endpoint of RCTs is defined as a change from baseline of a continuous outcome. In
such cases, regulators recommend including the outcome’s baseline value as a covariate in the
statistical analysis. Regression to the mean can explain the benefits of this procedure.

Interview with Erica Smith, VP of Business Development at Biotech Showcase, San Francisco (January 2019).

Interview with Daniel Levine and Erica Smith, VP of Business Development on The Bio Report podcast (June 2019).

Interview with Andy Burrows of PC TV and Dominique Demolle, CEO at Partnerships in Clinical Trials, Europe (2017).

The Characterization of Individual Patient Placebo Response: Impact on the Clinical Study Power

A sophisticated method to identify placebo responders and reduce data variability due to the placebo response, providing drug developers with a tool to manage the placebo response without excluding high placebo responders.

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