AI-Powered
Clinical Research
AI-Powered
Clinical Research
AI-Powered
Clinical Research
We leverage AI models trained on medical data
to augment the design and analysis of clinical trials.
We leverage AI models trained on medical data to augment the design and analysis of clinical trials.
Historical Data.
Historical Data.
Future Cures.
Trial Design Optimization
Using generative AI models, we simulate thousands of trials under different scenarios to refine inclusion criteria, guide the selection of clinical endpoints, and determine the optimal sample size.
This leads to more efficient studies with a much higher probability of success.
Trial Augmentation
We use ML and AI models to predict clinical outcomes and safely augment trial analyses, achieving regulatory-grade results that have increased statistical power without impacting trial validity.
This enables faster trial completion and stronger, data-driven early decisions.
Trial Extension
We use ML, AI and a rich clinical data lake to build robust external control
and active comparator groups for experimental studies.This provides comparative context for single-group studies and maximizes the long-term impact of trial data.
Future Cures.
Historical Data.
Historical Data.
Future Cures.
Trial Design Optimization
We leverage generative AI models
to simulate thousands of trials under different clinical scenarios to refine inclusion criteria, guide the selection of clinical endpoints, and determine sample size.This leads to more efficient studies with a significantly higher probability of success.
Trial Augmentation
We use ML and AI models to predict clinical outcomes and safely augment trial analyses, achieving regulatory-grade results that have increased statistical power without impacting trial validity.
This enables faster trial completion and stronger, data-driven early decisions.
Trial Extension
We use AI, ML, and a rich clinical data lake to build robust external control and active comparator groups for experimental studies.
This provides comparative context for single-group studies and maximizes the long-term impact of trial data.
Future Cures.
Historical Data.
Historical Data.
Future Cures.
Trial Design Optimization
Using generative AI models,
we simulate thousands of trials under different scenarios to refine inclusion criteria, guide the selection of clinical endpoints, and determine the optimal sample size.This leads to more efficient studies with a much higher probability of success.
Trial Augmentation
We use ML and AI models to predict clinical outcomes and safely augment trial analyses, achieving regulatory-grade results that have increased statistical power without impacting trial validity.
This enables faster trial completion and stronger, data-driven early decisions.
Trial Extension
We use AI, ML, and a rich clinical data lake to build robust external control and active comparator groups for experimental studies.
This provides comparative context for single-group studies and maximizes the long-term impact of trial data.
Future Cures.
FAQ
FAQ
FAQ