Toward unbiased objective functions in constraint-based modeling.

The objective function is important to constraint-based modeling, but setting it has traditionally been subjective, limiting predictive accuracy. We expose the biases of commonly used objective functions and propose a paradigm shift toward unbiased objective functions powered by artificial intelligence, offering a promising avenue for metabolic engineering and biomedical applications.