Optimization of clinical/healthcare trials using synthetic data
Que es
What is Synthetrial?
Synthetrial is a Generative Artificial Intelligence platform that provides virtual patient data through small samples of real patients, allowing:
To predict future patient characteristics.
To forecast the evolution of an ongoing clinical/healthcare trial.
To obtain significance in the trials.
benefits
What would be the benefits of applying synthetic data?
Synthetic data improves clinical/healthcare trials by optimizing the process, reducing costs and accelerating research.
Our approach facilitates robust validation and fosters innovation, making medical research more efficient and safer. Moreover, it is a highly versatile model, validated in assays of all types, from cosmetics to cancer.
guarantee
What do we guarantee?
Reach reliable conclusions in record time
Thanks to the model we have developed, we can estimate the results of a trial before it ends, allowing us to make an approximation of the path that the clinical/healthcare trial will take.
Minimizing risks for patients
Patient safety is our priority. With Synthetrial, we can avoid putting patients at risk when they enter trials with a high probability of failure.
To detect trials with a high probability of failure
With our algorithm we can significantly reduce the number of trials that do would not reach the final stages, helping to improve the proportion of successful trials.
Reduce trial time and costs
Synthetic patient generation helps to finish a trial once a minimal sample of patients has been recruited and followed up, without compromising the quality and safety of clinical/healthcare trials.
How reliable is our model?
The software has been trained with thousands of clinical data that have allowed the model to find relationships between the different variables, which confers a high reliability. This is why this software is exclusively applicable to clinical/healthcare trials.
Ask for more information
Want to know more about how we work? Contact us for more information and find out how our innovations can help your research.
