How Does Bayesian Optimization Work in Cancer Research?
In the context of cancer research, Bayesian Optimization is employed to optimize various processes, including drug discovery, treatment planning, and biomarker identification. By systematically exploring the parameter space and using probabilistic models, researchers can identify the most promising candidates for further investigation, significantly reducing the time and cost associated with experimental evaluations.
