unlearn.ai

Overview

Create patient-specific digital twins for clinical trials.

TwinRCTs by unlearn is revolutionizing clinical trials with digital twins, enabling quicker and more confident decision-making in medical research. By utilizing patient-specific digital twins, traditional randomized controlled trials are expedited, reaching full enrollment sooner and requiring fewer participants.

This AI-powered tool enhances the observation of treatment effects in early-stage studies without the need to increase the number of patients. TwinRCTs also increase the chances for study participants to receive experimental treatments while using smaller control groups, improving the overall efficiency and success of clinical trials.

Use Cases

• Accelerate drug development timelines by leveraging TwinRCTs to simulate patient-specific digital twins and optimize treatment strategies, leading to faster decision-making and quicker enrollment in clinical trials..
• Enhance the efficiency of early-stage medical research by utilizing TwinRCTs to predict treatment effects with smaller control groups, allowing for a more streamlined and cost-effective trial process while maintaining high confidence in the results..
• Improve patient access to experimental treatments in clinical trials through the use of TwinRCTs, optimizing participant selection based on detailed digital twin simulations and increasing the likelihood of successful outcomes with reduced study duration..

Who Is It For

• Digital innovators
• Clinical researchers
• Pharmaceutical leaders
• Patient advocates
• Data scientists