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Our publications showcase our innovative clinical research methods leveraging trial participants’ digital twins to deliver faster, more powerful clinical studies.

Whitepaper

A Risk-Based Approach for Leveraging AI in Clinical Trials

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A Risk-Based Approach for Leveraging AI in Clinical Trials
Publisher
Unlearn
Date
June 10, 2025
How to position clinical trials with digital twins for regulatory success
Publisher
Unlearn
Date
February 6, 2024
Bayesian Prognostic Covariate Adjustment With Additive Mixture Priors
Publisher
arXiv
Date
November 23, 2023
Evaluating Digital Twins for Alzheimer’s Disease using Data from a Completed Phase 2 Clinical Trial
Publisher
Alzheimer’s Association
Date
December 20, 2022
Prognostic Covariate Adjustment for Binary Outcomes Using Stratification
Publisher
arXiv
Date
December 19, 2022
Restricted mean survival time estimate using covariate adjusted pseudovalue regression to improve precision
Publisher
arXiv
Date
August 9, 2022
Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score
Publisher
De Gruyter
Date
December 22, 2021
Bayesian prognostic covariate adjustment
Publisher
arXiv
Date
December 24, 2020

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How to position clinical trials with digital twins for regulatory success

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