Generative AI - Assisted Adaptive Cancer Therapy.

ABSTRACT: Adaptive combination therapy is deemed the most intuitive strategy to thwart therapeutic resistance through dynamic treatment tuning that accounts for cancer evolutionary dynamics. However, higher accuracy and reliability of treatment response predictions would be needed, in addition to the need for clinically feasible models of adaptive combination therapy that consider newly approved therapeutics and the growing multimodal data being available about cancer. Grounded in nonlinear system control theory, this review offers a perspective on exploiting GenAI learning and inferencing capabilities to predict treatment response and recommend treatments in the context of adaptive cancer therapy. Results from nonlinear system identification, control theory and deep learning are integrated within a

SUBMITTER: Derbal Y 

PROVIDER: S-EPMC12177262 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature