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MEDA reveals that integrating domain knowledge and mechanistic constraints is crucial for accurately discovering biological models, outperforming traditional numerical fitting methods.
A generative model of human physiology not only beats existing clinical risk scores at predicting disease, but also accurately simulates the effects of clinical interventions, paving the way for personalized medicine.
