Unlearn

Unlearn.ai provides an AI-driven solution called 'Digital Twins' designed to transform clinical research. This tool aids clinical trials across various medical specialties, including neuroscience, immunology, and metabolic disorders.

Digital Twins are essentially sophisticated models that predict a patient's possible future health status. The tool functions by collecting a participant's initial data, processing this data through an AI model trained on past data, and then generating the 'Digital Twin'.

This tool offers a dual advantage: it enhances early-stage studies by improving the ability to detect treatment effects without increasing patient numbers, and it accelerates late-stage studies by reducing enrollment time, as fewer patients are needed to achieve the same statistical power as traditional clinical trial methods.

Another feature of 'Digital Twins' is its capacity to generate prognostic scores for each patient in a randomized clinical trial. This enhances the analytical power while adhering to guidelines from both the US Food and Drug Administration and the European Medicines Agency.

These patient 'twins' are especially useful in TwinRCTs, which are highly powered trials that use smaller control groups, thereby increasing the likelihood that patients will receive the experimental treatment.

This tool represents an innovative and valuable resource for clinical trials and the advancement of personalized medicine.