AI-powered digital twins of individual patients
Patient digital twins forecast how an individual’s health may change over time
We invent, train, and deploy generative models capable of generating accurate, comprehensive forecasts of a patient’s health over time under relevant scenarios—which we call their digital twin.
We are pioneering generative AI research
Our AI research centers on deep learning-based generative models for multivariate stochastic processes and associated clinical applications. In other words, we aim to simulate ‘what if?’ scenarios for individual patients so that we can computationally compare potential health outcomes.
Incredible data products
Data is the bedrock of machine learning. We’re building a strong foundation of highly curated datasets consisting of individual, longitudinal, research-consented patient data across our target indications.
State-of-the-art ML models
Our research is at the cutting edge of generative AI for multivariate time-series. We build and deploy new types of machine learning models for forecasting potential health outcomes for individual patients.
Rigorous clinical applications
We develop novel methods for using the predicted health outcomes from patients’ digital twins to improve clinical research. The outcome: efficient processes that determine the best treatments for each patient.
A patient’s digital twin forecasts their potential future health outcomes
The human body is too complex to simulate from the atom-up. We’re taking a top-down approach, leveraging artificial intelligence trained on highly curated historical datasets to forecast health outcomes so that we can accelerate medical innovation today.
AI-generated digital twins of patients will transform healthcare
Support precision medicine
We envision a future where patients’ digital twins help doctors create more accurate diagnoses and more personalized treatment plans.
Reduce human experimentation
Patients’ digital twins will predict relative treatment effects, revealing how different treatments compare to each other with less patient experimentation.
Calculate precise predictions
An AI-powered future will enable a more efficient, ethical, and reliable healthcare system.
AI-powered clinical trials leverage participants’ digital twins to maintain power with smaller control groups
TwinRCTs use our regulatory qualified methods to incorporate trial participants’ digital twins into clinical trials, enabling trial designs with smaller control groups that reach enrollment targets faster than traditional designs.
Interested in how AI-powered digital twins are transforming clinical research?
Partner with us at the frontier of AI in medicine to accelerate your drug development programs.