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Explores the application of machine learning in medicine, emphasizing interpretability, variability between patients, and the quest for transparent equations in medical models.
Summarizes Generalized Gradient Approximations, Meta-GGAs, Hybrid functionals, First-Principles Molecular Dynamics, QM/MM simulations, and important features of Quantum Chemistry calculations.
