Clinical Research

Publications

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

Blog

Our perspectives

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Reducing Placebo Burden: TwinRCTs and Their Impact on Clinical Trials
Date
January 2, 2024
Synthetic Control Groups Don’t Work, or: How I Learned to Stop Worrying and Love Randomized Trials
Date
May 30, 2023
Digital twins in clinical trials: How they work, and how they don’t.
Date
March 31, 2022