FDT-BioTech: A digital twin framework for developing and analyzing virtual patient cohorts — NSF Award to University of Texas at A
The current clinical trial system is notoriously inefficient and resource intensive with only 10% of drugs that enter the system eventually being approved for patient use. This is due, at least partially, to how difficult it is to test all the possible interventions (for example, drugs or surgery) in large groups of pa
| Award title | FDT-BioTech: A digital twin framework for developing and analyzing virtual patient cohorts |
|---|---|
| Award ID | 2436499 |
| Awardee | University of Texas at Austin |
| City | AUSTIN |
| State | TX |
| Amount obligated | $952,867 |
| Principal investigator | David Hormuth |
| Program | OFFICE OF MULTIDISCIPLINARY AC, MSPA-INTERDISCIPLINARY |
| Start date | 12/15/2024 |
| Abstract | The current clinical trial system is notoriously inefficient and resource intensive with only 10% of drugs that enter the system eventually being approved for patient use. This is due, at least partially, to how difficult it is to test all the possible interventions (for example, drugs or surgery) in large groups of patients to determine that they are safe and effective. Furthermore, it is not possible to vary the order, dose, and timing of any promising intervention as there are simply too many |
| Source | NSF Awards |
$799/mo
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