Our Products

Clinical Trial Design

Determine the inclusion criteria, endpoints, and study sizes with the highest chances of success.

Synthetic Control Arms

Reduce or eliminate the need to run a concurrent control arm by incorporating synthetic control patients to model the standard of care.

Super-Powered Subgroup Analysis

Analyze trial results to identify patient subgroups that received more benefit from a treatment.

Our Technology

Quality
Training Datasets

Our models are trained on curated longitudinal patient datasets originating from historical control arms, patient registries, and/or real world datasets.

Transparent
Data Processing

We have regulatory grade data processing and model training frameworks that are fully reproducible and auditable.

State-of-the-Art
Machine Learning

We use patent-pending algorithms to simulate complete, longitudinal synthetic control patient records.

Personalized, Not Historical Data

Unlearn uses proprietary machine learning algorithms to simulate synthetic control patients.

Each synthetic control patient serves as a virtual twin to an individual patient in the treatment population. Virtual twins de-risk clinical trials by eliminating confounding variables and increasing statistical power.

Comprehensive Patient Records

Unlearn’s synthetic control patients are indistinguishable from real patients receiving the standard of care or placebo.

Complete synthetic control patient records allow sponsors to perform the same in-depth analyses as in a traditional randomized controlled trial.

Interested in learning more about us?

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