Mathematical modeling framework enhances clinical trial design for maintenance treatment in oncology.

ABSTRACT: Clinical trials are costly and time-intensive endeavors, with a high rate of drug candidate failures. Moreover, the standard approaches often evaluate drugs under a limited number of protocols. In oncology, where multiple treatment protocols can yield divergent outcomes, addressing this issue is crucial. Here, we present a computational framework that simulates clinical trials through a combination of mathematical and statistical models. This approach offers a means to explore diverse treatment protocols efficiently and identify optimal strategies for oncological drug administration. We developed a computational framework with a stochastic mathematical model as its core, capable of simulating virtual clinical trials closely recapitulating the clinical scenarios. Testing our framework on th

SUBMITTER: Kozlowska E 

PROVIDER: S-EPMC11607330 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature