Predictions, Lasso Regression, Model Averaging, Spline Regression, Crossvalidation.
horribly on new data (overfitting). Second, like all models, they do not take into account biology. Empirical prediction models look at bias, variance, and (cross)-correlations. Hence, it is very easy to misuse their capabilities only to end up with unexplainable garbage that does not predict well.