Optimizing Protocols with Historical Clinical Trial Data to Improve the Probability of Success in CAR-T Trials
Whitepaper
Optimizing Protocols with Historical Clinical Trial Data to Improve the Probability of Success in CAR-T Trials
The Medidata AI CAR-T Data Cube
Adoptive cell therapies, which harness a patient’s own immune system to combat diseases, hold immense potential in the field of oncology. However, despite CAR-T cell therapies entering clinical trials more than a decade ago, their utilization has been limited to cases where many other treatment options have been exhausted due to challenges in clinical development and potential adverse events like Cytokine Release Syndrome and cytopenia. Medidata AI’s CAR-T Data Cube is a groundbreaking development that provides researchers with unprecedented access to data from over 50 CAR-T/TCE clinical trials and more than 4000 patients. This innovative tool, containing over 100,000 data points per patient, not only facilitates ongoing research but also assists in the exploration of optimal therapies and their administration to patients.
