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https://pubmed.ncbi.nlm.nih.gov/38091368
The abstract describes a new algorithm, Time-adaptive bayesian optimization, that optimizes neurostimulation parameters over time, outperforming traditional techniques in tracking changes due to disease progression and biological rhythmicity in a computational model of deep brain stimulation for treating movement disorders.