Optimizing Protocols with Historical Clinical Trial Data to Improve the Probability of Success in CAR-T Trials

Optimizing Protocols with Historical Clinical Trial Data to Improve the Probability of Success in CAR-T Trials

 

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.

White Paper from  ntt-data_logo

    Read the full content


    You have been directed to this site by Global IT Research. For more details on our information practices, please see our Privacy Policy, and by accessing this content you agree to our Terms of Use. You can unsubscribe at any time.

    If your Download does not start Automatically, Click Download Whitepaper

    Show More